"Assessing the performance of state-of-the-art machine learning algorithms ..."

Abdurrahman Cetin et al. (2024)

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DOI: 10.1016/J.AEI.2024.102468

access: closed

type: Journal Article

metadata version: 2024-08-04

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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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