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/elektrik
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 , convolutional neural network , artificial intelligence , support vector machine , computer science , pattern recognition (psychology) , preprocessor , classifier (uml) , computer vision , binary classification , feature (linguistics) , artificial neural network , feature extraction , track (disk drive) , engineering , structural engineering , linguistics , philosophy , operating system