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1 Ergebnisse
1
Modelling the Oil-in-Water Separation Dynamics in a De-Oili..:
, In:
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
,
Pajuro, Kacper Filip
;
Hansen, Lasse Bonde
;
Odena, Michael Keenan
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/IECON51785.2023.10311791
RT T1 <cTitle>IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society</cTitle>: T1 <Title>Modelling the Oil-in-Water Separation Dynamics in a De-Oiling Hydrocyclone System Using LSTM Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10311791&Exemplar=1&LAN=DE A1 Pajuro, Kacper Filip A1 Hansen, Lasse Bonde A1 Odena, Michael Keenan A1 Jespersen, Stefan A1 Yang, Zhenyu YR 2023 SN 2577-1647 K1 Training K1 Production K1 Predictive models K1 Position measurement K1 Valves K1 Sensor systems K1 Sensors K1 Oil-in-Water K1 hydrocyclone K1 modelling K1 LSTM-NN SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IECON51785.2023.10311791 DO https://doi.org/10.1109/IECON51785.2023.10311791 SF ELIB - SuUB Bremen
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