Clustering of Image Data to Enhance Machine Learning Based Quality Control in THT Manufacturing
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9663569/9663417/09663663.pdf?arnumber=9663663
Reference11 articles.
1. Development of the Machine Vision System for Automated Inspection of Printed Circuit Board Assembl
2. Modern Architecture for Deep Learning-Based Automatic Optical Inspection
3. ImageNet Large Scale Visual Recognition Challenge;russakovsky,2014
4. Automated Detection of Printed Circuit Boards (PCB) Defects by Using Machine Learning in Electronic Manufacturing: Current Approaches
5. Prediction of the Solder Rise in Selective Wave Soldering Comparing Decision Tree and Logistic Regression
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1. Comparative Study on Different Methods to Generate Synthetic Data for the Classification of THT Solder Joints;2024 1st International Conference on Production Technologies and Systems for E-Mobility (EPTS);2024-06-05
2. A Systematic Literature Review on Artificial Intelligence and Explainable Artificial Intelligence for Visual Quality Assurance in Manufacturing;Electronics;2023-11-08
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