Welding fault detection and diagnosis using one-class SVM with distance substitution kernels and random convolutional kernel transform
Crossref DOI link: https://doi.org/10.1007/s00170-023-11768-5
Published Online: 2023-07-12
Published Print: 2023-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Melakhsou, Abdallah Amine
Batton-Hubert, Mireille
Casoetto, Nicolas
Text and Data Mining valid from 2023-07-12
Version of Record valid from 2023-07-12
Article History
Received: 7 March 2023
Accepted: 10 June 2023
First Online: 12 July 2023
Declarations
:
: The authors declare no competing interests.