您当前的位置:
首页 >
文章列表页 >
Unsupervised spatio-temporal state estimation for fine-grained anomaly diagnosis of cyber-physical systems
Papers | 更新时间:2025-08-07
    • Unsupervised spatio-temporal state estimation for fine-grained anomaly diagnosis of cyber-physical systems

    • Journal on Communications   Vol. 46, Issue 7, Pages: 45-59(2025)
    • DOI:10.11959/j.issn.1000-436x.2025129    

      CLC: TP393
    • Received:17 April 2025

      Revised:2025-07-07

      Accepted:09 July 2025

      Published:25 July 2025

    移动端阅览

  • SUN Haili,HUANG Yan,HAN Lansheng,et al.Unsupervised spatio-temporal state estimation for fine-grained anomaly diagnosis of cyber-physical systems[J].Journal on Communications,2025,46(07):45-59. DOI: 10.11959/j.issn.1000-436x.2025129.

  •  
  •  

0

Views

873

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Vertical handover policy for cyber-physical systems aided by SAGIN based on deep reinforcement learning

Related Author

WU Yan
PAN Guangchuan
YAO Mingwu
YANG Qinghai
LEUNG Victor C.M.

Related Institution

State Key Laboratory of Integrated Services Network, School of Telecommunications, Xidian University
Internet of Things Research Center, School of Computer and Software, Shenzhen University
0