| 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
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[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.
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[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.
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[3] 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.
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[4] 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.
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[5] 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.
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[6] 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.
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[7] 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.
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[8] 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.
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[9] 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.
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[10] 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.
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[11] 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.
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[12] 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.
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[13] 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.
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[14] 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.
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[15] 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.
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[16] 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.
-
[17] 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.
-
[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.
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[19] 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.
-
[20] 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.
-
[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.
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[22] 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.
-
[23] 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.
-
[24] 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.
-
[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] 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.
-
[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] 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.
-
[30] 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.
-
[31] 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.
-
[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.
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[33] 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.
-
[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] 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.
-
[36] 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.
-
[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] 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.
-
[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] 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.
-
[41] 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.
-
[42] 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.
-
[43] 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.
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[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.
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[45] 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.
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[46] 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.
-
[47] 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.
-
[48] 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.
-
[49] 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.
-
[50] 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.
-
[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] 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.
-
[53] 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.
-
[54] 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.
-
[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] 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.
-
[57] 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.
-
[58] 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.
-
[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] 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.
-
[61] 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.
-
[62] 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.
-
[63] 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.
-
[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.
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[65] 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.
-
[66] 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.
-
[67] 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.
-
[68] 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.
-
[69] 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.
-
[70] 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.
-
[71] 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.
-
[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] 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.
-
[74] 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.
-
[75] 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.
-
[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] 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.
-
[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] 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.
-
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[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.
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[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.
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[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.
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[521] 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.
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[539] 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.
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[556] 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.
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[600] 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.
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[601] 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.
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[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.
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[603] 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.
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[604] 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.
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[605] 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.
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[607] 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.
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[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.
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[609] 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.
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[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.
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[611] 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.
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[612] 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.
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[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.
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[614] 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.
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[615] 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.
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[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.
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[618] 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.
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[619] 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.
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[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.
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[621] 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.
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[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.
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[624] 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.
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[625] 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.
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[627] 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.
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[628] 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.
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[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.
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[632] 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.
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[633] 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.
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[634] 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.
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[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.
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[636] 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.
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[638] 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.
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[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.
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[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.
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[641] 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.
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[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.
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[643] 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.
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[646] 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.
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[647] 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.
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[648] 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.
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[649] 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.
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[650] 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.
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[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.
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[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.
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[653] 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.
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[654] 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.
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[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.
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[657] 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.
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[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.
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[659] 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.
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[660] 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.
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[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.
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[662] 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.
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[663] 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.
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[665] 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.
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[666] 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.
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[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.
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[669] 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.
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[671] 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.
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[678] 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.
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[679] 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.
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[680] 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.
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[683] 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.
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[685] 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.
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[686] 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.
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[687] 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.
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[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.
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[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.
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[690] 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.
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[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.
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[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.
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[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.
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[697] 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.
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[698] 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.
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[699] 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.
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[700] 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.
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[701] 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.
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[702] 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.
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[703] 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.
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[704] 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.
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[705] 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.
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[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.
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[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.
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[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.
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[709] 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.
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[710] 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.
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[711] 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.
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[712] 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.
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[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.
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[714] 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.
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[715] 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.
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[716] 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.
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[717] 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.
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[718] 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.
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[719] 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.
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[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.
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[721] 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.
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[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.
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[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.
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[724] 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.
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[725] 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.
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[726] 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.
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[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.
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[728] 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.
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[729] 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.
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[730] 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.
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[731] 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.
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[732] 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.
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[733] 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.
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[734] 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.
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[735] 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.
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[736] 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.
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[737] 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.
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[738] 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.
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[739] 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.
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[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.
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[741] 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.
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[742] 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.
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[743] 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.
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[744] 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.
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[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.
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[746] 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.
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[747] 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.
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[748] 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.
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[749] 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.
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[750] 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.
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[751] 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.
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[752] 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.
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[753] 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.
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[754] 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.
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[755] 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.
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[756] 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.
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[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.
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[758] 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.
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[759] 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.
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[760] 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.
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[761] 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.
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[762] 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.
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[763] 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.
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[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.
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[765] 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.
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[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.
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[767] 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.
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[768] 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.
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[769] 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.
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[770] 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.
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[771] 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.
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[772] 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.
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[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.
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[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.
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[775] 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.
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[776] 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.
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[777] 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.
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[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.
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[779] 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.
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[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.
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[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.
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[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.
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[783] 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.
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[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.
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[785] 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.
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[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.
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[787] 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.
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[788] 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.
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[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.
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[790] 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.
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[791] 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.
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[792] 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.
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[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.
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[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.
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[795] 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.
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[796] 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.
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[797] 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.
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[798] 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.
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[799] 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.
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[800] 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.
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[801] 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.
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[802] 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.
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[803] 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.
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[804] 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.
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[805] 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.
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[806] 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.
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[809] 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.
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[816] 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.
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[818] 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.
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[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.
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[821] 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.
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[827] 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.
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[881] 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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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
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[1] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[2] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[3] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[310] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[311] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[312] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[313] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[314] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[315] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[316] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[317] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[318] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[319] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[321] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[322] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[323] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[324] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[325] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[326] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[327] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[328] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[329] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[330] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[331] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[332] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[333] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[334] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[335] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[336] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[337] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[338] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[339] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[340] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[341] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[342] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[343] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[344] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[345] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[346] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[347] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[348] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[349] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[350] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[351] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[352] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[353] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[354] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[355] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[356] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[357] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[358] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[359] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[360] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[361] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[362] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[363] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[364] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[365] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[366] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[367] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[368] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[369] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[370] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[371] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[372] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[373] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[374] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[375] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[376] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[377] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[378] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[379] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[380] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[381] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[382] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[383] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[384] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[385] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[386] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[387] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[388] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[389] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[390] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[391] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[392] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[393] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[394] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[395] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[396] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[397] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[398] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[399] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[400] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[401] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[402] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[403] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[404] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[407] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[410] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[411] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[412] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[414] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[415] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[417] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[418] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[419] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[420] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[421] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[422] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[423] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[424] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[425] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[426] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[427] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[428] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[429] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[430] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[431] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[432] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[433] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[434] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[435] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[436] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[437] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[438] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[439] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[440] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[441] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[442] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[443] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[444] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[445] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[446] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[447] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[448] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[449] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[450] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[451] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[452] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[453] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[454] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[455] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[456] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[457] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[458] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[459] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[460] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[461] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[462] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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[463] 吴惠霞,刘洁,杨仕平. 无机化学实验(第二版). 科学出版社, 2021.
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科研项目
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[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.
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[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 | | 2019-2020 | 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 | | 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 | | 2024-2025 | 2 | 数据库系统概论 | | 2018-2019 | 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 |
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