题名 | LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT |
作者 | |
通讯作者 | Wu, Di |
发表日期 | 2020-08
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DOI | |
发表期刊 | |
ISSN | 1941-0050
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卷号 | 16期号:8页码:5244-5253 |
关键词 | |
相关链接 | [IEEE记录] |
收录类别 | |
学校署名 | 其他
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来源库 | IEEE
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8896029 |
引用统计 |
被引频次[WOS]:170
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/139987 |
专题 | 工学院_计算机科学与工程系 |
作者单位 | 1.Hunan Univ, ExponentiAI Innovat Lab, Changsha 410082, Hunan, Peoples R China 2.Hunan Univ, Key Lab Embedded & Network Comp Hunan Prov, Changsha 410082, Hunan, Peoples R China 3.Hunan Univ, Dept Comp Engn, Changsha 410082, Hunan, Peoples R China 4.Vivo Commun Technol, Shenzhen 518101, Peoples R China 5.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China 6.Univ Warwick, Dept Comp Sci, Coventry CV4 7AL, W Midlands, England |
推荐引用方式 GB/T 7714 |
Wu, Di,Jiang, Zhongkai,Xie, Xiaofeng,et al. LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT[J]. IEEE Transactions on Industrial Informatics,2020,16(8):5244-5253.
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APA |
Wu, Di,Jiang, Zhongkai,Xie, Xiaofeng,Wei, Xuetao,Yu, Weiren,&Li, Renfa.(2020).LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT.IEEE Transactions on Industrial Informatics,16(8),5244-5253.
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MLA |
Wu, Di,et al."LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT".IEEE Transactions on Industrial Informatics 16.8(2020):5244-5253.
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条目包含的文件 | 条目无相关文件。 |
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