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支持TinyML的模糊逻辑,用于在遥感中增强道路异常检测.

Amna Khatoon1, Weixing Wang2, Mengfei Wang3

  • 1School of Information Engineering, Chang'an University, Xi'an, 710064, Shaanxi, China.

Scientific reports
|July 2, 2025
PubMed
概括

这项研究引入了微型机器学习 (TinyML) 与模糊逻辑,以在边缘设备上有效检测道路异常. TinyML-U-Net-FL框架实现了高精度,提高了道路安全和智能交通系统.

关键词:
边缘计算是一种边缘计算.模糊的推断系统是模糊的推断系统.遥感路面图像 遥感路面图像道路上的异常情况.道路网络开采 提取 道路网络开采在TinyML中使用TinyML.

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