Machine Learning Models for PCB Defect Detection: A Survey-Reference-Cited by-同舟云学术

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Machine Learning Models for PCB Defect Detection: A Survey

Published:2023-12-14 Issue: Volume:4 Page:731-735
ISSN:
Container-title:2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC)
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Author:

T Subbulakshmi¹,Ramachandran Vishwath²,Anand Philip²,Madhavan Rohit²,Revathi M.¹,Subramanian Girish H.³

Affiliation:

1. Vellore Institute of Technology,School of Computer Science and Engineering,Chennai,India

2. Vellore Institute of Technology,Computer Science and Engineering,Chennai,India

3. Pennsylvania State University,School of Business Administration,Pennsylvania,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10480719/10480720/10480774.pdf?arnumber=10480774

Reference31 articles.

1. Printed circuit boards: A review on the perspective of sustainability

2. Miniaturisation of Electronic Components and the Problem of Device Overheating

3. A comprehensive study on current and future trends towards the characteristics and enablers of industry 4.0

4. Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas

5. A survey on defect detection in bare PCB and assembled PCB using image processing techniques

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