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Harnessing attention mechanisms in a comprehensive deep lea..:
Vo, Thanh-Tung
;
Liu, Meng-Kun
;
Tran, Minh-Quang
Engineering Applications of Artificial Intelligence. 129 (2024) - p. 107643 , 2024
Link:
https://doi.org/10.1016/j.engappai.2023.107643
RT Journal T1 <Title>Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2023.107643&Exemplar=1&LAN=DE A1 Vo, Thanh-Tung A1 Liu, Meng-Kun A1 Tran, Minh-Quang PB Elsevier BV YR 2024 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 129 SP 107643 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2023.107643 DO https://doi.org/10.1016/j.engappai.2023.107643 SF ELIB - SuUB Bremen
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