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Updated: Jan 9, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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红色砂岩的水含量检测基于冲击声学传感和卷积神经网络

Zhaokang Qiu1,2,3, Yang Liu1,2,3, Yi Zhang4

  • 1State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
概括

本研究介绍了一种非破坏性方法,用于检测红色砂岩的水分含量,使用敲击方法的声信号. 该方法将信号处理与卷积神经网络支持矢量机 (CNN-SVM) 模型相结合,实现高精度.

关键词:
卷积神经网络是一个卷积神经网络.敲门检测方法检测方法红色的砂石红色的砂石含水量 含水量 含水量

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