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1
Validation and Verification of Remaining Useful Life Predic..:
, In:
2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
,
S G, Prasanna Kumara
;
Kumar, Asheesh
;
Babavali, Shaik Fakruddin
... - p. 175-180 , 2023
Link:
https://doi.org/10.1109/ICSSAS57918.2023.10331670
RT T1 <cTitle>2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)</cTitle>: T1 <Title>Validation and Verification of Remaining Useful Life Prediction for Lithium-Ion Batteries based on AM-CNN Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10331670&Exemplar=1&LAN=DE A1 S G, Prasanna Kumara A1 Kumar, Asheesh A1 Babavali, Shaik Fakruddin A1 Shankar Patil, Chetan A1 Murali, M J A1 Kumar, T Ch Anil YR 2023 K1 Lithium-ion batteries K1 Noise reduction K1 Neural networks K1 Predictive models K1 Transformers K1 Data models K1 Particle filters K1 Attention Mechanism (AM) K1 Denoising Transformer Network (DTN) K1 Lithium-ion batteries (LIBs) SP 175 OP 180 LK http://dx.doi.org/https://doi.org/10.1109/ICSSAS57918.2023.10331670 DO https://doi.org/10.1109/ICSSAS57918.2023.10331670 SF ELIB - SuUB Bremen
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