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Overview and comparison of neural network models for diagnostics and quality control in the production of printed circuit boards

The article reviews and analyzes modern solutions based on neural networks for diagnostics and quality control of printed circuit boards (PCB). Various convolutional neural network (CNN) models, including LeNet-5, AlexNet, VGGNet, ResNet, and others, are reviewed, and their advantages and disadvanta...

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Datum:	2025
Hauptverfasser:	Верлань , А.А., Фастовець , Є.Р.
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	Інститут проблем реєстрації інформації НАН України 2025
Schlagworte:	quality control defect detection neural networks artificial intelligence printed circuit boards YOLO optical inspection
Online Zugang:	http://drsp.ipri.kiev.ua/article/view/336051
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Data Recording, Storage & Processing

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Data Recording, Storage & Processing

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