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1 Ergebnisse
1
Harnessing CNN-DNC and CNN-LSTM-DNC Architectures for Enhan..:
, In:
2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS)
,
Rastegarpanah, Alireza
;
Contreras, Cesar Alan
;
Stolkin, Rustam
- p. 116-121 , 2023
Link:
https://doi.org/10.1109/ICICIS58388.2023.10391131
RT T1 <cTitle>2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS)</cTitle>: T1 <Title>Harnessing CNN-DNC and CNN-LSTM-DNC Architectures for Enhanced Lithium-Ion Remaining Useful Life Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10391131&Exemplar=1&LAN=DE A1 Rastegarpanah, Alireza A1 Contreras, Cesar Alan A1 Stolkin, Rustam YR 2023 SN 2831-5952 K1 Lithium-ion batteries K1 Training K1 Renewable energy sources K1 Computational modeling K1 Computer architecture K1 Predictive models K1 Transformers K1 Remaining Useful Life K1 lithium-ion battery K1 Differentiable Neural Computer K1 Convolutional Neural Network K1 Long Short-Term Memory SP 116 OP 121 LK http://dx.doi.org/https://doi.org/10.1109/ICICIS58388.2023.10391131 DO https://doi.org/10.1109/ICICIS58388.2023.10391131 SF ELIB - SuUB Bremen
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