您当前的位置：
首页 >
文章列表页 >
A Fatigue Detection Network Based on Graph Neural Networks and Temporal Convolutional Networks
Artificial Intelligence | 更新时间：2026-07-07

    • A Fatigue Detection Network Based on Graph Neural Networks and Temporal Convolutional Networks

    • Software Guide   Vol. 25, Issue 6, Pages: 74-78(2026)

    • DOI：10.11907/rjdk.251183    

      CLC： TP18

    • Received：07 May 2025，

      Published：15 June 2026

    移动端阅览

  • CUI Jialong,GAO Dongrui,CHEN Jun,et al.A Fatigue Detection Network Based on Graph Neural Networks and Temporal Convolutional Networks[J].Software Guide,2026,25(06):74-78. DOI： 10.11907/rjdk.251183.

  •  
  •  

0

Views

0

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

Code Similarity Detection Method Based on Graph Neural Network
An APT Attack Detection Method Combining Temporal Convolutional Network and Attention Mechanism
Time-Series Graph Course Recommendation Algorithm Integrating Multiple Temporal Patterns
A Self-trending Optimization Control Method for Power Network Communication Based on Graph Deep Reinforcement Learning
Transcription Factor Binding Sites Prediction with Long-Short Distance Fusion Learning Based on Dual-path TCN

Related Author

ZHANG Weifeng
CUI Boxi
ZHAO Han
CUI Shuai
WANG Jinshuang
QU Kangjian
ZHAO Ning
ZHU Shiyi

Related Institution

School of Computer Science， Nanjing University of Posts and Telecommunications
State Key Laboratory of Advanced Communication Technology
Institute of Command Control Engineering， Army Engineering University
Faculty of Artificial Intelligence in Education， Central China Normal University
State Grid Shandong Electric Power Company Information and Communication Company，Ji'nan
0