Open AccessDefect classification of railway fasteners using image preprocessing and alightweight convolutional neural network
Author(s) -
İLHAN AYDIN,
MEHMET SEVİ,
MEHMET UMUT SALUR,
ERHAN AKIN
Publication year - 2022
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 30
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.55730/1300-0632.3817
Subject(s) - fastener , artificial intelligence , convolutional neural network , support vector machine , computer science , preprocessor , pattern recognition (psychology) , classifier (uml) , binary classification , computer vision , feature (linguistics) , artificial neural network , track (disk drive) , engineering , structural engineering , linguistics , philosophy , operating system
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