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1 Ergebnisse
1
CycleGAN Based Unsupervised Domain Adaptation for Machine F..:
, In:
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
,
Pattnaik, Naibedya
;
Vemula, Uday Sai
;
Kumar, Kriti
... - p. 973-979 , 2022
Link:
https://dl.acm.org/doi/10.1145/3560905.3568303
RT T1 <cTitle>Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems</cTitle>: T1 <Title>CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3568303&Exemplar=1&LAN=DE A1 Pattnaik, Naibedya A1 Vemula, Uday Sai A1 Kumar, Kriti A1 Kumar, A. Anil A1 Majumdar, Angshul A1 Chandra, M. Girish A1 Pal, Arpan PB ACM YR 2022 K1 CycleGAN K1 domain adaptation K1 machine fault diagnosis K1 unsupervised learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Anomaly detection K1 Multi-task learning K1 Transfer learning SP 973 OP 979 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3560905.3568303 DO https://dl.acm.org/doi/10.1145/3560905.3568303 SF ELIB - SuUB Bremen
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