Investigating the ability of deep learning to predict Welding Depth and Pore Volume in Hairpin Welding

Fuente: arXiv

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Bibliographic Details
Main Authors:	Darwish, Amena, Ericson, Stefan, Ghasemi, Rohollah, Andersson, Tobias, Lönn, Dan, Lassila, Andreas Andersson, Salomonsson, Kent
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2312.01606