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An Electric Bicycle Charging Anomaly Detection Method Based on Deep Learning and MiniBatchKMeans Clustering
Cyberspace Security | 更新时间：2025-09-30

    • An Electric Bicycle Charging Anomaly Detection Method Based on Deep Learning and MiniBatchKMeans Clustering

    • “In the field of electric bicycle charging safety, researchers have proposed a charging anomaly detection method based on deep learning and MiniBatchKMeans clustering, which effectively improves the detection accuracy, reduces the probability of missed and false detections, and has practical value and promotion significance.”
    • Software Guide   Vol. 24, Issue 9, Pages: 146-152(2025)

    • DOI：10.11907/rjdk.251442    

      CLC： TP18

    • Received：02 July 2025，

      Published：15 September 2025

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  • LU Ningxin,LIU Linghui,DENG Lei,et al.An Electric Bicycle Charging Anomaly Detection Method Based on Deep Learning and MiniBatchKMeans Clustering[J].Software Guide,2025,24(09):146-152. DOI： 10.11907/rjdk.251442.

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