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ORCID"Assessing the performance of state-of-the-art machine learning algorithms ..."
Abdurrahman Cetin et al. (2024)
- Abdurrahman Cetin, Gökhan Atali
, Caner Erden, Sinan Serdar Ozkan:
Assessing the performance of state-of-the-art machine learning algorithms for predicting electro-erosion wear in cryogenic treated electrodes of mold steels. Adv. Eng. Informatics 61: 102468 (2024)
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last updated on 2024-08-04 19:49 CEST by the dblp team
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