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1 Ergebnisse
1
Remaining Trip Time Prediction Using Light Gradient Boostin..:
, In:
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
,
Oh, Sang Won
;
Lee, Sang Hyun
;
Na, Man Gyun
- p. 302-305 , 2022
Link:
https://doi.org/10.1109/CSCI58124.2022.00058
RT T1
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
: T1
Remaining Trip Time Prediction Using Light Gradient Boosting Machine in Nuclear Power Plants
UL https://suche.suub.uni-bremen.de/peid=ieee-10216601&Exemplar=1&LAN=DE A1 Oh, Sang Won A1 Lee, Sang Hyun A1 Na, Man Gyun YR 2022 SN 2769-5654 K1 Fluctuations K1 Additives K1 Scientific computing K1 Prediction methods K1 Emergency services K1 Boosting K1 Market research K1 Remaining trip time K1 Light gradient boosting machine K1 Shapley additive explanation K1 Explainable artificial intelligence K1 prediction task SP 302 OP 305 LK http://dx.doi.org/https://doi.org/10.1109/CSCI58124.2022.00058 DO https://doi.org/10.1109/CSCI58124.2022.00058 SF ELIB - SuUB Bremen
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