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1 Ergebnisse
1
WGAN-GP with Residual Network Model for Lithium Battery The..:
, In:
2023 IEEE 6th International Electrical and Energy Conference (CIEEC)
,
Hu, Fengshuo
;
Dong, Chaoyu
;
Wang, Mingshen
... - p. 4030-4035 , 2023
Link:
https://doi.org/10.1109/CIEEC58067.2023.10166002
RT T1 <cTitle>2023 IEEE 6th International Electrical and Energy Conference (CIEEC)</cTitle>: T1 <Title>WGAN-GP with Residual Network Model for Lithium Battery Thermal Image Data Expansion with Quantitative Metrics</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10166002&Exemplar=1&LAN=DE A1 Hu, Fengshuo A1 Dong, Chaoyu A1 Wang, Mingshen A1 Xiao, Qian A1 Mu, Yunfei A1 Jia, Hongjie YR 2023 K1 Training K1 Image quality K1 Analytical models K1 Thermal expansion K1 Generative adversarial networks K1 Lithium batteries K1 Stability analysis K1 generative adversarial network (GAN) K1 Lithium battery thermal image K1 Wasserstein GAN with gradient penalty(WGAN-GP) K1 data expansion SP 4030 OP 4035 LK http://dx.doi.org/https://doi.org/10.1109/CIEEC58067.2023.10166002 DO https://doi.org/10.1109/CIEEC58067.2023.10166002 SF ELIB - SuUB Bremen
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