Material identification based on machine-learning algorithms for hybrid workpieces during cylindrical operations
Crossref DOI link: https://doi.org/10.1007/s10845-018-1404-0
Published Online: 2018-02-22
Published Print: 2019-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Denkena, Berend
Bergmann, Benjamin
Witt, Matthias
Funding for this research was provided by:
Deutsche Forschungsgemeinschaft (SFB1153)
Text and Data Mining valid from 2018-02-22
Article History
Received: 25 October 2017
Accepted: 17 February 2018
First Online: 22 February 2018