Non-contact Inspection of Electrically Discharged Materials Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3173-2_11
Reference17 articles.
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4. Ulas M, Aydur O, Gurgenc T, Ozel C (2020) Surface roughness prediction of machined aluminum alloy with wire electrical discharge machining by different machine learning algorithms. J Mater Res Technol 9(6):12512–12524
5. Vakharia V, Vora J, Khanna S, Chaudhari R, Shah M, Pimenov DY, Giasin K, Prajapati P, Wojciechowski S (2022) Experimental investigations and prediction of WEDMed surface of Nitinol SMA using SinGAN and DenseNet deep learning model. J Mater Res Technol 18:325–337
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