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Updated: Jan 15, 2026

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基于残留Denoising视觉网络识别钻木昆虫的爬行信号

Henglong Lin1,2, Huajie Xue3, Jingru Gong3

  • 1College of Mechanical Engineering, Guangxi University, Nanning 530004, China.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

这项研究引入了一种使用围虫害信号和深度学习模型 (RDVNet) 的快速识别系统,以改善木材海关检查中木材虫害的检测,显著提高效率并降低成本.

关键词:
进行比较实验比较实验.功能提取 特性提取识别系统的识别系统剩余的去化废气.

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