Circuit Board Components Identification Pdf

EM-YOLO: high-precision electronic component detection via multi-scale attention and dynamic feature fusion  Nature

Small defect detection in printed circuit boards based on the multiscale edge strengthening and an improved YOLOv10  Nature

Enhanced YOLOv11 framework for high precision defect detection in printed circuit boards  Nature

Printed Circuit Board identification using Deep Convolutional Neural Networks to facilitate recycling  ScienceDirect.com

Uniquely Identifying PCBs, Subassemblies, And Packaging  Semiconductor Engineering

App for Identification of PCB Components  Industrial Engineering News Europe

Lab-on-PCB with integrated DNA amplification and electroanalytical detection for point-of-care diagnostics  Nature

An improved EAE-DETR model for defect detection of server motherboard  Nature

SEPDNet: simple and effective PCB surface defect detection method  Nature

A novel PCB surface defect detection method based on separated global context attention to guide residual context aggregation  Nature

Attentive context and semantic enhancement mechanism for printed circuit board defect detection with two-stage and multi-stage object detectors  Nature

PCB defect detection algorithm based on CDI-YOLO - Scientific Reports  Nature

A dataset for deep learning based detection of printed circuit board surface defect | Scientific Data  Nature

Defect detection of printed circuit board assembly based on YOLOv5  Nature

PCB plug-in solder joint defect detection method based on coordinated attention-guided information fusion  Nature

Theoretical investigation and practical validation of AI based fault detection in BJT amplifier circuits  Nature

End-to-end deep learning framework for printed circuit board manufacturing defect classification  Nature

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