Predicting deterioration in paint-coated steel due to defects using a generative adversarial network approach
Crossref DOI link: https://doi.org/10.1007/s11709-025-1180-9
Published Online: 2025-05-26
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Jiang, Feng
Hirohata, Mikihito
Hamada, Ayato
Text and Data Mining valid from 2025-05-26
Version of Record valid from 2025-05-26
Article History
Received: 14 May 2024
Accepted: 11 February 2025
First Online: 26 May 2025
Ethics
: Competing interests The authors declare that they have no competing interests.