20 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System
Yongqi Dong, Kejia Chen, Zhiyuan Ma
Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalo…
cs.LG2022★ 20 cited
Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network
Yongqi Dong, Kejia Chen, Yinxuan Peng +1
As the central nerve of the intelligent vehicle control system, the in-vehicle network bus is crucial to the security of vehicle driving. One of the best standards for the in-vehic…