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1 Ergebnisse
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Remaining useful life prediction of lithium battery based o..:
Li, Zihan
;
Li, Ai
;
Bai, Fang
..
Measurement Science and Technology. 35 (2023) 1 - p. 016101 , 2023
Link:
https://doi.org/10.1088/1361-6501/ad006d
RT Journal T1 <Title>Remaining useful life prediction of lithium battery based on ACNN-Mogrifier LSTM-MMD</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1088_1361-6501_ad006d&Exemplar=1&LAN=DE A1 Li, Zihan A1 Li, Ai A1 Bai, Fang A1 Zuo, Hongfu A1 Zhang, Ying PB IOP Publishing YR 2023 SN 0957-0233 SN 1361-6501 JF Measurement Science and Technology VO 35 IS 1 SP 016101 LK http://dx.doi.org/https://doi.org/10.1088/1361-6501/ad006d DO https://doi.org/10.1088/1361-6501/ad006d SF ELIB - SuUB Bremen
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