| 部门:信息与机电工程学院 |
| 聘任技术职务:副教授 |
| 学位:理学硕士学位 |
| 学历:硕士研究生毕业 |
| 毕业院校:上海师范大学 |
| 联系电话:18917870411 |
| 电子邮箱:chenjh@shnu.edu.cn |
| 办公地点:海思路100号 |
| 通讯地址: |
研究方向
数据信息处理技术及数据库信息系统方面的研究,重点在数据库理论、分布式数据库方面。主要从事教学及科研项目研究工作,熟悉软件的开发和组织流程。项目来源主要为企业 MIS 软件系统的委托开发及纵向科研项目,项目以信息系统设计、开发为主,目前主要从事物流货贷行业的软件研发工作; 科研成果: 主要从事计算机教学及信息处理技术的研发工作。在教书育人同时,参与了校内外的多项科研项目。 高教局项目: 《化妆品/木器物料及成本分析核算系统》, 《常用教育统计与测量软件包》, 《实用旅游网络业务管理系统》, 《多媒体酒店包房电脑管理系统》, 《AS通用帐务处理系统和报表系统》(“上海市财政局”鉴定、高教局鉴定)。 参与了上海市科委的《上海市科技城联网方案研究》项目的研究工作,该项目获上海市科学院科技成果三等奖。 参与了国家教育部项目《全国教育科学规划重点研究课题(中学校园网建设、利用)》的研究工作,该项目由教育部电教办公室鉴定通过。 上海市经委的产学研项目《SD空运物流进出口业务处理系统》(获得到软件著作权)。 主要的横向协作项目有: 《台湾华翰电脑公司:财务管理系统及进销存管理系统》, 上海宝屐皮鞋厂的《鞋业销售管理系统》。 上海郑明明化妆品有限公司的《化妆品行业MRPII系统》(订单、采购合同、仓库、车间、成品、成本核算分析、物料预测分析), 航天局的《SZ神舟推进分系统控制驱动器测试台》故障测试部分, 上海经贸国际物流有限公司的《空运物流业务管理及核算核销系统》。 研制了上海市社保中心的《上海市民信息服务网》。 上海瑞控信息技术有限公司的《RCIS数据采集及监控处理系统》, 软件著作权: 《SD空运物流出口业务处理系统V1.0》,登记号:2007SR07819 《SD空运物流进口业务处理系统V1.0》,登记号:2007SR07818 《SD物流行业客户来电业务管理系统》,登记号:2010SR039201 发表论文: [1] 用软件生命期方法开发仓库管理系统上海师范大学学报 1992.9 [2] P2P技术构建信息交换平台的探索上海师范大学学报自然科学版 2002.12 [3] 基于P2P的数据库深度搜索引擎计算机应用与软件2003年12 期 [4] MIS 系统远程智能升级计算机应用与软件2004年21 期 [5] 分布式信息系统中用户权限的研究上海师范大学学报自然科学版 2004.12 [6] 信息处理系统间数据交换的研究计算机应用与软件2005年22 期 [7] MySQL数据库复制技术的研究计算机应用研究 2007.10 [8] java字符编码问题的研究上海师范大学学报(自然科学版)》,2007.12 [9] 基于未知数据源的数据信息抽取研究计算机工程与科学 2007 第30卷,第7期 [10] 提高数据检索效率的研究上海师范大学学报 2009.12 [11] 基于角色的权限与数据的控制策略计算机应用研究 2010(增刊) [12] 数据库全文检索方案的研究上海师范大学学报(自然科学版)2010.2 [13] 提高基于.NET Web服务类库的信息交换平台的可靠性和安全性方案
学术成果
论文
-
[1] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[2] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[3] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[4] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[5] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[6] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[7] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[8] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[9] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[10] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[11] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[12] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[13] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[14] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[15] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[16] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[17] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[18] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[19] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[20] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[21] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[22] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[23] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[24] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[25] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[26] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[27] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[28] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[29] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[30] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[31] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[32] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[33] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[34] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[35] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[36] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[37] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[38] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[39] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[40] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[41] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[42] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[43] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[44] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[45] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[46] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[47] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[48] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[49] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[50] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[51] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[52] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[53] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[54] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[55] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[56] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[57] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[58] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[59] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[60] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[61] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[62] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[63] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[64] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[65] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[66] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[67] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[68] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[69] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[70] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[71] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[72] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[73] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[74] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[75] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[76] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[77] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[78] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[79] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[80] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[81] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[82] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[83] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[84] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[85] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[86] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[87] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[88] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[89] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[90] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[91] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[92] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[93] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[94] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[95] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[96] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[97] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[98] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[99] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[100] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[101] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[102] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[103] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[104] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[105] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[106] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[107] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[108] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[109] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[110] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[111] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[112] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[113] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[114] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[115] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[116] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[117] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[118] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[119] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[120] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[121] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[122] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[123] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[124] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[125] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[126] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[127] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[128] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[129] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[130] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[131] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[132] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[133] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[134] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[135] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[136] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[137] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[138] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[139] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[140] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[141] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[142] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[143] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[144] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[145] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[146] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[147] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[148] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[149] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[150] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[151] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[152] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[153] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[154] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[155] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[156] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[157] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[158] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[159] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[160] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[161] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[162] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[163] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[164] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[165] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[166] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[167] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[168] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[169] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[170] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[171] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[172] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[173] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[174] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[175] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[176] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[177] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[178] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[179] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[180] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[181] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[182] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[183] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[184] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[185] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[186] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[187] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[188] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[189] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[190] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[191] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[192] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[193] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[194] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[195] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[196] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[197] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[198] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[199] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[200] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[201] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[202] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[203] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[204] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[205] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[206] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[207] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[208] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[209] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[210] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[211] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[212] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[213] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[214] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[215] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[216] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[217] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[218] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[219] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[220] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[221] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[222] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[223] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[224] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[225] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[226] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[227] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[228] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[229] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[230] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[231] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[232] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[233] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[234] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[235] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[236] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[237] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[238] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[239] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[240] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[241] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[242] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[243] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[244] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[245] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[246] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[247] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[248] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[249] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[250] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[251] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[252] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[253] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[254] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[255] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[256] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[257] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[258] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[259] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[260] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[261] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[262] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[263] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[264] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[265] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[266] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[267] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[268] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[269] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[270] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[271] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[272] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[273] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[274] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[275] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[276] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[277] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[278] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[279] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[280] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[281] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[282] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[283] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[284] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[285] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[286] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[287] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[288] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[289] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[290] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[291] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[292] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[293] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[294] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[295] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[296] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[297] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[298] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[299] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[300] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[301] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[302] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[303] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[304] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[305] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[306] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[307] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[308] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[309] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[310] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[311] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[312] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[313] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[314] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[315] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[316] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[317] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[318] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[319] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[320] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[321] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[322] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[323] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[324] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[325] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[326] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[327] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[328] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[329] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[330] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[331] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[332] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[333] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[334] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[335] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[336] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[337] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[338] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[339] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[340] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[341] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[342] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[343] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[344] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[345] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[346] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[347] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[348] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[349] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[350] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[351] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[352] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[353] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[354] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[355] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[356] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[357] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[358] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[359] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[360] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[361] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[362] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[363] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[364] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[365] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[366] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[367] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[368] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[369] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[370] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[371] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[372] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[373] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[374] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[375] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[376] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[377] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[378] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[379] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[380] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[381] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[382] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[383] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[384] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[385] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[386] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[387] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[388] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[389] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[390] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[391] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[392] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[393] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[394] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[395] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[396] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[397] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[398] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[399] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[400] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[401] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[402] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[403] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[404] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[405] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[406] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[407] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[408] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[409] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[410] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[411] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[412] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[413] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[414] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[415] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[416] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[417] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[418] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[419] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[420] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[421] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[422] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[423] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[424] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[425] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[426] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[427] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[428] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[429] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[430] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[431] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[432] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[433] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[434] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[435] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[436] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[437] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[438] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[439] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[440] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[441] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[442] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[443] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[444] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[445] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[446] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[447] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[448] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[449] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[450] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[451] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[452] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[453] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[454] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[455] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[456] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[457] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[458] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[459] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[460] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[461] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[462] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[463] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[464] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[465] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[466] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[467] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[468] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[469] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[470] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[471] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[472] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[473] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[474] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[475] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[476] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[477] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[478] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[479] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[480] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[481] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[482] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[483] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[484] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[485] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[486] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[487] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[488] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[489] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[490] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[491] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[492] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[493] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[494] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[495] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[496] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[497] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[498] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[499] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[500] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[501] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[502] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[503] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[504] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[505] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[506] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[507] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[508] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[509] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[510] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[511] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[512] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[513] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[514] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[515] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[516] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[517] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[518] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[519] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[520] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[521] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[522] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[523] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[524] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[525] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[526] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[527] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[528] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[529] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[530] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[531] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[532] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[533] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[534] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[535] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[536] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[537] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[538] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[539] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[540] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[541] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[542] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[543] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[544] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[545] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[546] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[547] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[548] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[549] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[550] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[551] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[552] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[553] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[554] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[555] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[556] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[557] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[558] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[559] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[560] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[561] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[562] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[563] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[564] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[565] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[566] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[567] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[568] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[569] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[570] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[571] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[572] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[573] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[574] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[575] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[576] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[577] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[578] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[579] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[580] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[581] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[582] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[583] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[584] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[585] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[586] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[587] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[588] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[589] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[590] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[591] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[592] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[593] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[594] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[595] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[596] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[597] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[598] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[599] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[600] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[601] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[602] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[603] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[604] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[605] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[606] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[607] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[608] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[609] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[610] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[611] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[612] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[613] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[614] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[615] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[616] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[617] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[618] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[619] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[620] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[621] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[622] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[623] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[624] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[625] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[626] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[627] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[628] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[629] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[630] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[631] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[632] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[633] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[634] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[635] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[636] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[637] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[638] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[639] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[640] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[641] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[642] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[643] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[644] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[645] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[646] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[647] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[648] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[649] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[650] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[651] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[652] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[653] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[654] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[655] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[656] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[657] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[658] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[659] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[660] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[661] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[662] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[663] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[664] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[665] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[666] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[667] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[668] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[669] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[670] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[671] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[672] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[673] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[674] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[675] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[676] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[677] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[678] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[679] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[680] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[681] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[682] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[683] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[684] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[685] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[686] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[687] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[688] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[689] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[690] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[691] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[692] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[693] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[694] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[695] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[696] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[697] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[698] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[699] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[700] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[701] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[702] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[703] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[704] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[705] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[706] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[707] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[708] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[709] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[710] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[711] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[712] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[713] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[714] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[715] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[716] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[717] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[718] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[719] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[720] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[721] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[722] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[723] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[724] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[725] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[726] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[727] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[728] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[729] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[730] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[731] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[732] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[733] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[734] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[735] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[736] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[737] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[738] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[739] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[740] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[741] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[742] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[743] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[744] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[745] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[746] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[747] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[748] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[749] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[750] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[751] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[752] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[753] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[754] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[755] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[756] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[757] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[758] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[759] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[760] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[761] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[762] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[763] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[764] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[765] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[766] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[767] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[768] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[769] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[770] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[771] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[772] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[773] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[774] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[775] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[776] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[777] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[778] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[779] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[780] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[781] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[782] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[783] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[784] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[785] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[786] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[787] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[788] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[789] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[790] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[791] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[792] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[793] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[794] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[795] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[796] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[797] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[798] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[799] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[800] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[801] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[802] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[803] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[804] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[805] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[806] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[807] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[808] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[809] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[810] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[811] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[812] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[813] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[814] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[815] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[816] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[817] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[818] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[819] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[820] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[821] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[822] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[823] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[824] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[825] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[826] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[827] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[828] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[829] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[830] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[831] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[832] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[833] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[834] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[835] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[836] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[837] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[838] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[839] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[840] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[841] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[842] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[843] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[844] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[845] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[846] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[847] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[848] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[849] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[850] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[851] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[852] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[853] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[854] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[855] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[856] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[857] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[858] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[859] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[860] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[861] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[862] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[863] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[864] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[865] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[866] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[867] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[868] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[869] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[870] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[871] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[872] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[873] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[874] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[875] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[876] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[877] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[878] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[879] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[880] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[881] 常甜甜,陈军华,卢一枝. Deep Web 数据源的发现和分类. 上海师范大学学报自然科学版,2016,45(2016.8):422-426.
-
[882] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[883] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[884] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[885] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[886] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[887] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[888] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[889] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[890] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[891] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[892] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[893] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[894] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[895] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[896] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[897] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[898] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[899] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[900] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[901] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[902] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[903] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[904] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[905] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[906] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[907] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[908] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[909] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[910] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[911] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[912] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[913] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[914] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[915] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[916] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[917] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[918] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[919] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[920] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[921] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[922] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[923] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[924] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[925] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[926] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[927] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[928] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[929] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[930] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[931] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[932] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[933] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[934] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[935] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[936] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[937] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[938] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[939] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[940] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[941] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[942] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[943] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[944] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[945] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[946] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[947] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[948] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[949] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[950] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[951] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[952] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[953] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[954] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[955] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[956] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[957] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[958] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[959] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[960] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[961] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[962] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[963] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[964] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[965] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[966] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[967] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[968] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[969] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[970] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[971] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[972] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[973] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[974] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[975] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[976] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[977] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[978] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[979] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[980] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[981] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[982] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[983] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[984] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[985] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[986] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[987] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[988] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[989] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[990] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[991] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[992] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[993] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[994] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[995] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[996] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[997] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[998] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[999] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1000] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1001] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1002] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1003] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1004] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1005] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1006] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1007] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1008] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1009] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1010] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1011] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1012] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1013] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1014] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1015] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1016] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1017] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1018] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1019] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1020] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1021] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1022] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1023] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1024] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1025] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1026] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1027] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1028] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1029] 李大志,李鲁群,陈军华,刘建华,董鑫. Application-oriented cloud monitoring data distribution mechanism. Journal of shanghai jiaotong university(science),2015,20(2):149-155.
-
[1030] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1031] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1032] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1033] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1034] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1035] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1036] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1037] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1038] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1039] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1040] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1041] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1042] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1043] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1044] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1045] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1046] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1047] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1048] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1049] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1050] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1051] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1052] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1053] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1054] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1055] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1056] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1057] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1058] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1059] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1060] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1061] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1062] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1063] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1064] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1065] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1066] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1067] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1068] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1069] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1070] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1071] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1072] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1073] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1074] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1075] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1076] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1077] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1078] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1079] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1080] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1081] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1082] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1083] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1084] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1085] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1086] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1087] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1088] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1089] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1090] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1091] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1092] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1093] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1094] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1095] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1096] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1097] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1098] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1099] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1100] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1101] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1102] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1103] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1104] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1105] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1106] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1107] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1108] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1109] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1110] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1111] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1112] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1113] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1114] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1115] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1116] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1117] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1118] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1119] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1120] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1121] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1122] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1123] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1124] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1125] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1126] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1127] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1128] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1129] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1130] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1131] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1132] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1133] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1134] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1135] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1136] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1137] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1138] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1139] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1140] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1141] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1142] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1143] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1144] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1145] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1146] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1147] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1148] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1149] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1150] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1151] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1152] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1153] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1154] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1155] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1156] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1157] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1158] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1159] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1160] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1161] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1162] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1163] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1164] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1165] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1166] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1167] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1168] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1169] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1170] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1171] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1172] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1173] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1174] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1175] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1176] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1177] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1178] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1179] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1180] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1181] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1182] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1183] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1184] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1185] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1186] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1187] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1188] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1189] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1190] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1191] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1192] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1193] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1194] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1195] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1196] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1197] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1198] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1199] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1200] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1201] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1202] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1203] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1204] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1205] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1206] 王光磊,陈军华,高建华,黄之杰. Python Code Smell Refactoring Route Generation based on Association rule and Correlation. International Journal of Software Engineering and Knowledge Engineering,2021,31(9)(2021.10):1329-1347.
-
[1207] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1208] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1209] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1210] 张硕伟,陈军华. 基于降噪自编码和卷积神经网络的协同过滤算法. 计算机与数字工程,2020,2020(10):2441-2445,2457.
-
[1211] 窦清缘,陈军华,高建华,黄之杰. Class Change Prediction by Incorporating Community Smell: An Empirical Study. International Journal of Software Engineering and Knowledge Engineering,2022,32(9):1369-1388.
-
[1212] 郭书武,陈军华. 基于深度学习的教材德目分类方法. 计算机与现代化,2021,43(7):1897-1903.
-
[1213] 邓松,陈军华. 基于二部分图网络结构推荐的改进算法. 上海师范大学学报自然科学版,2017,46(2017 第四期):535-541页.
-
[1214] 夏海峰,陈军华. 基于语义相似度计算的Deep Web数据库查询. 微型机与应用,2014,33(8):64-67.
著作
-
[1] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[2] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[3] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[4] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[5] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[6] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[7] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[8] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[9] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[10] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[11] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[12] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[13] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[14] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[15] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[16] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[17] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[18] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[19] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[20] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[21] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[22] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[23] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[24] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[25] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[26] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[27] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[28] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[29] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[30] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[31] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[32] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[33] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[34] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[35] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[36] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[37] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[38] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[39] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[40] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[41] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[42] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[43] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[44] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[45] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[46] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[47] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[48] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[49] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[50] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[51] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[52] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[53] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[54] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[55] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[56] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[57] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[58] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[59] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[60] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[61] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[62] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[63] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[64] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[65] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[66] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[67] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[68] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[69] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[70] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[71] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[72] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[73] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[74] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[75] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[76] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[77] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[78] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[79] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[80] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[81] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[82] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[83] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[84] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[85] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[86] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[87] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[88] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[89] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[90] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[91] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[92] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[93] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[94] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[95] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[96] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[97] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[98] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[99] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[100] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[101] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[102] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[103] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[104] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[105] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[106] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[107] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[108] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[109] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[110] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[111] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[112] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[113] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[114] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[115] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[116] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[117] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[118] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[119] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[120] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[121] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[122] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[123] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[124] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[125] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[126] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[127] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[128] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[129] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[130] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[131] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[132] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[133] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[134] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[135] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[136] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[137] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[138] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[139] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[140] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[141] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[142] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[143] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[144] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[145] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[146] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[147] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[148] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[149] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[150] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[151] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[152] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[153] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[154] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[155] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[156] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[157] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[158] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[159] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[160] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[161] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[162] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[163] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[164] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[165] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[166] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[167] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[168] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[169] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[170] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[171] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[172] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[173] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[174] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[175] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[176] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[177] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[178] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[179] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[180] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[181] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[182] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[183] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[184] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[185] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[186] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[187] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[188] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[189] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[190] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[191] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[192] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[193] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[194] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[195] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[196] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[197] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[198] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[199] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[200] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[201] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[202] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[203] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[204] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[205] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[206] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[207] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[208] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[209] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[210] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[211] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[212] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[213] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[214] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[215] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[216] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[217] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[218] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[219] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[220] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[221] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[222] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[223] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[224] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[225] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[226] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[227] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[228] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[229] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[230] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[231] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[232] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[233] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[234] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[235] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[236] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[237] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[238] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[239] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[240] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[241] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[242] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[243] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[244] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[245] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[246] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[247] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[248] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[249] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[250] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[251] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[252] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[253] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[254] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[255] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[256] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[257] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[258] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[259] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[260] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[261] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[262] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[263] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[264] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[265] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[266] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[267] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[268] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[269] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[270] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[271] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[272] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[273] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[274] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[275] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[276] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[277] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[278] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[279] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[280] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[281] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[282] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[283] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[284] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[285] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[286] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[287] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[288] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[289] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[290] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[291] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[292] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[293] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[294] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[295] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[296] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[297] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[298] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[299] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[300] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[301] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[302] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[303] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[304] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[305] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[306] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[307] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[308] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[309] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[310] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[311] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[312] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[313] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[314] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[315] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[316] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[317] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[318] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[319] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[320] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[321] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[322] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[323] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[324] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[325] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[326] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[327] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[328] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[329] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[330] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[331] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[332] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[333] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[334] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[335] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[336] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[337] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[338] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[339] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[340] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[341] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[342] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[343] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[344] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[345] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[346] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[347] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[348] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[349] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[350] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[351] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[352] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[353] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[354] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[355] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[356] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[357] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[358] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[359] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[360] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[361] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[362] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[363] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[364] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[365] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[366] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[367] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[368] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[369] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[370] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[371] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[372] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[373] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[374] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[375] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[376] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[377] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[378] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[379] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[380] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[381] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[382] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[383] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[384] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[385] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[386] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[387] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[388] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[389] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[390] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[391] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[392] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[393] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[394] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[395] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[396] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[397] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[398] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[399] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[400] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[401] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[402] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[403] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[404] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[405] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[406] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[407] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[408] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[409] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[410] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[411] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[412] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[413] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[414] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[415] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[416] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[417] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[418] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[419] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[420] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[421] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[422] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[423] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[424] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[425] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[426] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[427] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[428] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[429] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[430] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[431] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[432] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[433] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[434] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[435] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[436] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[437] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[438] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[439] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[440] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[441] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[442] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[443] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[444] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[445] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[446] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[447] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[448] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[449] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[450] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[451] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[452] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[453] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[454] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[455] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[456] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[457] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[458] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[459] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[460] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[461] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[462] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[463] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[464] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[465] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[466] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[467] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[468] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[469] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[470] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[471] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[472] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[473] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[474] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[475] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[476] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[477] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[478] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[479] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[480] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[481] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[482] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[483] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[484] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[485] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[486] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[487] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
-
[488] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
科研项目
-
[1] 陈军华.上海瑞控信息技术有限公司:RCIS数据采集及监控处理系统,结题.
-
[2] 陈军华.校一般科研项目:物流行业客户来电业务管理系统,在研.
-
[3] 陈军华.校一般科研项目:空运物流业务处理规范及实现,结题.
-
[4] 陈军华.上海良讯科技有限公司:大学生精准就业云聘系统,在研.
-
[5] 陈军华.复旦大学:问卷调查设计开发及项目实施,在研.
-
[6] 陈军华.上海市教育委员会科研创新项目(产学研类助推):SD空运物流进出口业务处理系统(助推),在研.
-
[7] 陈军华.上海牧月计算机系统工程有限公司:116设备运保管理信息平台开发,在研.
-
[8] 陈军华.校一般科研项目:基于语义相似度的深度万维网数据库搜索研究,结题.
-
[9] 陈军华.上海奕然国际货物运输代理有限公司:货运运输信息关管理系统,在研.
-
[10] 陈军华.上海五爱科技发展有限公司:SD空运物流进出口业务处理系统(二),在研.
教学工作
| 教职工课程信息 | | 开课学年 | 开课学期 | 课程名称 | | 2024-2025 | 2 | 数据库系统概论 | | 2018-2019 | 2 | 数据库系统概论 | | 2025-2026 | 1 | 数据库系统概论 | | 2024-2025 | 1 | 数据库系统概论 | | 2019-2020 | 2 | 数据库系统概论 | | 2023-2024 | 2 | 数据库系统概论 | | 2023-2024 | 2 | 数据库系统概论 | | 2017-2018 | 2 | 数据库系统概论 | | 2022-2023 | 2 | 数据库系统概论 | | 2016-2017 | 1 | 数据库系统概论 | | 2016-2017 | 2 | 数据库系统概论 | | 2023-2024 | 1 | 数据库系统概论 | | 2022-2023 | 1 | 数据库系统概论 | | 2021-2022 | 1 | 数据库系统概论 |
|