Comparative Analysis of Existing Deep Learning Techniques for Automatic Defects Detection in Printed Circuit Boards
Author:
Affiliation:
1. Chandigarh University,Department of Electronics and Communication Engineering,Mohali
2. MiRXES,Department of research and development,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390098.pdf?arnumber=10390098
Reference22 articles.
1. A Survey on Automatic Printed Circuit Board Defect Detection Techniques
2. Analysis of Training Deep Learning Models for PCB Defect Detection;Liu;Sensors 2023,2023
3. Fundamentals of Artificial Neural Networks and Deep Learning
4. Defect Detection in Printed Circuit Boards with Pre-Trained Feature Extraction Methodology with Convolution Neural Networks
5. Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
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