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Remedy: Automated Design and Deployment of Hybrid Deep Lear..:
, In:
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
,
Fabarisov, Tagir
;
Naik, Vishnu Gangadhara
;
Attar, Arman Aghaei
. - p. 1-8 , 2023
Link:
https://doi.org/10.1109/IECON51785.2023.10312506
RT T1
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
: T1
Remedy: Automated Design and Deployment of Hybrid Deep Learning-based Error Detectors
UL https://suche.suub.uni-bremen.de/peid=ieee-10312506&Exemplar=1&LAN=DE A1 Fabarisov, Tagir A1 Naik, Vishnu Gangadhara A1 Attar, Arman Aghaei A1 Morozov, Andrey YR 2023 SN 2577-1647 K1 Deep learning K1 Industrial electronics K1 Software packages K1 Computational modeling K1 Training data K1 Detectors K1 Mathematical models K1 deep learning K1 error detection K1 fault diagnosis K1 data generation K1 cyber-physical system K1 digital twin K1 fault injection SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IECON51785.2023.10312506 DO https://doi.org/10.1109/IECON51785.2023.10312506 SF ELIB - SuUB Bremen
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