Visualization and location estimation of defective parts of industrial products using convolutional autoencoder
Crossref DOI link: https://doi.org/10.1007/s10015-022-00797-0
Published Online: 2022-09-22
Published Print: 2022-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Arima, Koki
Nagata, Fusaomi
Shimizu, Tatsuki
Miki, Kohei
Kato, Hirohisa
Otuka, Akimasa
Watanabe, Keigo
Text and Data Mining valid from 2022-09-22
Version of Record valid from 2022-09-22
Article History
Received: 30 March 2022
Accepted: 9 September 2022
First Online: 22 September 2022