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1 Ergebnisse
1
Ensemble Deep and Machine Learning for Improving Short-Term..:
, In:
2024 IST-Africa Conference (IST-Africa)
,
Toto, Paul
;
Kimwele, Michael
;
Rimiru, Richard
- p. 1-9 , 2024
Link:
https://doi.org/10.23919/IST-Africa63983.2024.10569729
RT T1
2024 IST-Africa Conference (IST-Africa)
: T1
Ensemble Deep and Machine Learning for Improving Short-Term Water Demand Forecast in Cities
UL https://suche.suub.uni-bremen.de/peid=ieee-10569729&Exemplar=1&LAN=DE A1 Toto, Paul A1 Kimwele, Michael A1 Rimiru, Richard YR 2024 SN 2576-8581 K1 Radio frequency K1 Accuracy K1 Urban areas K1 Predictive models K1 Boosting K1 Bayes methods K1 Random forests K1 Water demand prediction K1 machine learning K1 deep learning K1 smart cities K1 ensemble model K1 IoT SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.23919/IST-Africa63983.2024.10569729 DO https://doi.org/10.23919/IST-Africa63983.2024.10569729 SF ELIB - SuUB Bremen
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