Open AccessDefect Detection in Printed Circuit Boards with Pre-Trained Feature Extraction Methodology with Convolution Neural Networks
Author(s) -
Mohammed A. Alghassab
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.019527
Subject(s) - computer science , artificial intelligence , artificial neural network , convolution (computer science) , deep learning , pattern recognition (psychology) , feature extraction , printed circuit board , convolutional neural network , set (abstract data type) , machine learning , image processing , field (mathematics) , machine vision , image (mathematics) , mathematics , pure mathematics , programming language , operating system
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