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1 Ergebnisse
1
Lightweight Compressed Temporal and Compressed Spatial Atte..:
, In:
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
,
Guo, Haoren
;
Zhu, Haiyue
;
Wang, Jiahui
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/IECON51785.2023.10312336
RT T1 <cTitle>IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society</cTitle>: T1 <Title>Lightweight Compressed Temporal and Compressed Spatial Attention with Augmentation Fusion in Remaining Useful Life Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10312336&Exemplar=1&LAN=DE A1 Guo, Haoren A1 Zhu, Haiyue A1 Wang, Jiahui A1 Prahlad, Vadakkepat A1 Ho, Weng Khuen A1 de Silva, Clarence W. A1 Lee, Tong Heng YR 2023 SN 2577-1647 K1 Training K1 Biological system modeling K1 Computational modeling K1 Time series analysis K1 Predictive models K1 Transformers K1 Data models K1 remaining useful life (RUL) prediction K1 deep learning K1 time series K1 feature fusion K1 attention model SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IECON51785.2023.10312336 DO https://doi.org/10.1109/IECON51785.2023.10312336 SF ELIB - SuUB Bremen
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