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Updated: Jan 12, 2026

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实时检测异常行为,使用节能的基于YOLO的框架

Sreedevi R Krishnan1, P Amudha2,3, S Sivakumari3

  • 1Department of Computer Science and Engineering, Adi Shankara Institute of Engineering and Technology, Kalady, Ernakulam, Kerala, India. sreedevirkrishnan@gmail.com.

Scientific reports
|November 6, 2025
PubMed
概括

本研究介绍了一种AI模型,用于使用优化的YOLO网络检测公共空间中的异常行为. 该系统达到99.46%的准确性,通过先进的计算机视觉技术提高公共安全.

关键词:
亚当优化优化 亚当优化在美国,CNN是CNN.历史图平衡平衡的方法优化了Yolo的优化

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