相关实验视频

Updated: Jul 4, 2025

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices
09:26

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices

Published on: June 26, 2015

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ID-YOLOv7:一种有效的方法,用于电力分发网络中绝缘体缺陷检测

Bojian Chen1, Weihao Zhang1, Wenbin Wu1

  • 1State Grid Fujian Electric Power Research Institute, Fuzhou, China.

Frontiers in neurorobotics
|January 30, 2024
PubMed
概括

这项研究介绍了ID-YOLOv7,一种改进的卷积神经网络,用于检测发电网中的绝缘体缺陷. 改进后的模型大大减少了复杂环境中的错误检测和遗漏.

关键词:
这就是YOLOv7的意思.注意力机制注意力机制深度学习是一种深度学习.发现缺陷检测检测缺陷检测绝缘体的绝缘体是一个绝缘体

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Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope11:14

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