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An Efficient Driver Anomaly State Detection Approach Based on End-Cloud Integration and Unsupervised Learning.

Jiayi LuYaoguang CaoRunwu ShiBoao ZhangYuyi ChenBin SunZhaowen PangFan ZhouShichun Yang
Published in: ITSC (2023)
Keyphrases
  • false positives
  • unsupervised learning
  • detection rate
  • false alarms
  • anomaly detection
  • supervised learning
  • detection accuracy
  • data mining
  • web services
  • bayesian networks
  • data fusion
  • network traffic
  • anomalous behavior