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                                       Details for article 24 of 96 found articles
 
 
  Assessing the performance of state-of-the-art machine learning algorithms for predicting electro-erosion wear in cryogenic treated electrodes of mold steels
 
 
Title: Assessing the performance of state-of-the-art machine learning algorithms for predicting electro-erosion wear in cryogenic treated electrodes of mold steels
Author: Cetin, Abdurrahman
Atali, Gokhan
Erden, Caner
Ozkan, Sinan Serdar
Appeared in: Advanced engineering informatics
Paging: Volume 61 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 24 of 96 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands