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Solving Time Alignment Issue of Multimodal Data for Accurat..:
, In:
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
,
Jose, Sagar
;
Ngouna, Raymond Houe
;
Nguyen, Khanh T.P.
. - p. 280-285 , 2022
Link:
https://doi.org/10.1109/CoDIT55151.2022.9804090
RT T1
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
: T1
Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN-Transformer-LSTM Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9804090&Exemplar=1&LAN=DE A1 Jose, Sagar A1 Ngouna, Raymond Houe A1 Nguyen, Khanh T.P. A1 Medjaher, Kamal YR 2022 SN 2576-3555 K1 Deep learning K1 Neural networks K1 Sensor phenomena and characterization K1 Market research K1 Sensor systems K1 Data mining K1 Prognostics and health management SP 280 OP 285 LK http://dx.doi.org/https://doi.org/10.1109/CoDIT55151.2022.9804090 DO https://doi.org/10.1109/CoDIT55151.2022.9804090 SF ELIB - SuUB Bremen
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