Automated steel surface defect detection and classification using a new deep learning-based approach
Crossref DOI link: https://doi.org/10.1007/s00521-022-08112-5
Published Online: 2022-12-08
Published Print: 2023-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Demir, Kursat
Ay, Mustafa
Cavas, Mehmet
Demir, Fatih https://orcid.org/0000-0003-3210-3664
Text and Data Mining valid from 2022-12-08
Version of Record valid from 2022-12-08
Article History
Received: 2 July 2022
Accepted: 22 November 2022
First Online: 8 December 2022
Declarations
:
: The authors declare that they have no conflict to interest.