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PCDC: prototype-assisted dual-contrastive learning with dep..:
Chae, Minseok
;
Kim, Hyeongmin
;
Oh, Hye Jun
...
Journal of Computational Design and Engineering. 11 (2024) 3 - p. 337-358 , 2024
Link:
https://doi.org/10.1093/jcde/qwae052
RT Journal T1 <Title>PCDC: prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors under new operating conditions</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jcde_qwae052&Exemplar=1&LAN=DE A1 Chae, Minseok A1 Kim, Hyeongmin A1 Oh, Hye Jun A1 Park, Chan Hee A1 Suh, Chaehyun A1 Yoon, Heonjun A1 Youn, Byeng D PB Oxford University Press (OUP) YR 2024 SN 2288-5048 JF Journal of Computational Design and Engineering VO 11 IS 3 SP 337 OP 358 LK http://dx.doi.org/https://doi.org/10.1093/jcde/qwae052 DO https://doi.org/10.1093/jcde/qwae052 SF ELIB - SuUB Bremen
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