Defect Detection in Printed Circuit Boards Using Semi-Supervised Learning

Defect inspection is essential in the semiconductor industry to fabricate printed circuit boards (PCBs) with minimum defect rates. However, conventional inspection systems are labor-intensive and time-consuming. In this study, a semi-supervised learning (SSL)-based model called PCB_SS was developed....

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Detalles Bibliográficos
Autores principales: Pham, Thi Tram Anh, Thoi, Do Kieu Trang, Choi, Hyohoon, Park, Suhyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051373/
https://www.ncbi.nlm.nih.gov/pubmed/36991958
http://dx.doi.org/10.3390/s23063246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051373/
https://www.ncbi.nlm.nih.gov/pubmed/36991958
http://dx.doi.org/10.3390/s23063246

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