A novel tracking system for the iron foundry field based on deep convolutional neural networks
Crossref DOI link: https://doi.org/10.1007/s10845-022-01970-9
Published Online: 2022-07-02
Published Print: 2022-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Beck, Michael
Layh, Michael
Nebauer, Markus
Pinzer, Bernd R. https://orcid.org/0000-0002-7132-0605
Funding for this research was provided by:
European Regional Development Fund
Text and Data Mining valid from 2022-07-02
Version of Record valid from 2022-07-02
Article History
Received: 10 August 2021
Accepted: 18 May 2022
First Online: 2 July 2022
Declarations
:
: The authors declared that they have no conflict of interest.