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Updated: Jan 10, 2026

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
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增强的YOLOv11框架用于印刷电路板的高精度缺陷检测

Zeinab F Elsharkawy1

  • 1Engineering Department, Nuclear Research Center, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt. zeinab_elsharkawy@yahoo.com.

Scientific reports
|November 26, 2025
PubMed
概括

本研究介绍了YOLOv11-PCB,这是一个先进的深度学习系统,用于自动检测印刷电路板 (PCB) 缺陷. 它显著提高了识别关键PCB缺陷的准确性和速度,提高了电子产品的可靠性.

关键词:
注意力机制注意力机制卡拉菲 (Carafe) 是一种葡萄酒.深度学习是一种深度学习.这里是Eloul的世界.欧洲药品监督管理局 (EMA) 是一个.印刷电路板的印刷电路板.这就是YOLOv11的意义.

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