动态心电图对60例老年冠心病心肌缺血和心律失常检查分析

孙冬梅

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SLDeep: Statement-level software defect prediction using deep-learning model on static code features: Majd, Amirabbas; Vahidi-Asl, Mojtaba^*; Khalilian, Alireza; Poorsarvi-Tehrani, Pooria; Haghighi, Hassan; Expert Systems with Applications, 2020, 147: 113156.; 赞收藏引用分享浏览

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A Hierarchical Feature Ensemble Deep Learning Approach for Software Defect Prediction: Zhang, Shenggang; Jiang, Shujuan^*; Yan, Yue; International Journal of Software Engineering and Knowledge Engineering, 2023, 33(04): 543-573.; 赞收藏引用分享浏览

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An Abstract Syntax Tree Encoding Method for Cross-Project Defect Prediction: Cai, Ziyi; Lu, Lu^*; Qiu, Shaojian; IEEE Access, 2019, 7: 170844-170853.; 赞收藏引用分享浏览(6)

31

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An Improved CNN Model for Within-Project Software Defect Prediction: Pan, Cong^*; Lu, Minyan^*; Xu, Biao; Gao, Houleng; Applied Sciences-Basel, 2019, 9(10): 2138.; 赞收藏引用分享浏览(18)

25

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An Approach to Software Defect Prediction Combining Semantic Features and Code Changes: Tao, Chuanqi; Wang, Tao^*; Guo, Hongjing; Zhang, Jingxuan; International Journal of Software Engineering and Knowledge Engineering, 2022, 32(09): 1345-1368.; 赞收藏引用分享浏览

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基于重子节点抽象语法树的软件缺陷预测: 黄晓伟; 范贵生^*; 虞慧群; 杨星光; 计算机工程, 2021, 47(12): 230-248.; 赞收藏引用分享浏览(6)

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基于深度学习的软件缺陷预测模型: 陈凯^*; 邵培南; 计算机系统应用, 2021, 30(01): 29-37.; 赞收藏引用分享浏览

3

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基于迁移学习的软件缺陷预测模型研究: 何金虎; 其他, 2019.; 赞收藏引用分享浏览(1)

面向软件缺陷预测的树状结构编码方式: 梅锋; 蔡子仪; 陆璐; 计算机应用研究, 2020, 37(S2): 205-209.; 赞收藏引用分享浏览(14)

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基于源码语义的软件缺陷预测方法研究与实现: 林均豪; 计算机技术（专业学位）, 硕士, 华南理工大学, 2021.; 赞收藏引用分享浏览

访问全文 SLDeep: Statement-level software defect prediction using deep-learning model on static code features Majd, Amirabbas; Vahidi-Asl, Mojtaba^; Khalilian, Alireza; Poorsarvi-Tehrani, Pooria; Haghighi, Hassan Expert Systems with Applications*, 2020, 147: 113156. 赞收藏引用分享浏览
访问全文 A Hierarchical Feature Ensemble Deep Learning Approach for Software Defect Prediction Zhang, Shenggang; Jiang, Shujuan^; Yan, Yue International Journal of Software Engineering and Knowledge Engineering*, 2023, 33(04): 543-573. 赞收藏引用分享浏览
访问全文 An Abstract Syntax Tree Encoding Method for Cross-Project Defect Prediction Cai, Ziyi; Lu, Lu^; Qiu, Shaojian IEEE Access*, 2019, 7: 170844-170853. 赞收藏引用分享浏览(6)	31 被引
访问全文 An Improved CNN Model for Within-Project Software Defect Prediction Pan, Cong^; Lu, Minyan^; Xu, Biao; Gao, Houleng Applied Sciences-Basel, 2019, 9(10): 2138. 赞收藏引用分享浏览(18)	25 被引
访问全文 An Approach to Software Defect Prediction Combining Semantic Features and Code Changes Tao, Chuanqi; Wang, Tao^; Guo, Hongjing; Zhang, Jingxuan International Journal of Software Engineering and Knowledge Engineering*, 2022, 32(09): 1345-1368. 赞收藏引用分享浏览
访问全文基于重子节点抽象语法树的软件缺陷预测黄晓伟; 范贵生^; 虞慧群; 杨星光计算机工程*, 2021, 47(12): 230-248. 赞收藏引用分享浏览(6)
访问全文基于深度学习的软件缺陷预测模型陈凯^; 邵培南计算机系统应用*, 2021, 30(01): 29-37. 赞收藏引用分享浏览	3 被引
访问全文基于迁移学习的软件缺陷预测模型研究何金虎其他, 2019. 赞收藏引用分享浏览(1)
面向软件缺陷预测的树状结构编码方式梅锋; 蔡子仪; 陆璐计算机应用研究, 2020, 37(S2): 205-209. 赞收藏引用分享浏览(14)
访问全文基于源码语义的软件缺陷预测方法研究与实现林均豪计算机技术（专业学位）, 硕士, 华南理工大学, 2021. 赞收藏引用分享浏览

动态心电图对60例老年冠心病心肌缺血和心律失常检查分析

摘要

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Group classification of time fractional Black-Scholes equation with time-dependent coefficients

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On the generalized time fractional reaction–diffusion equation: Lie symmetries, exact solutions and conservation laws

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