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Machine Learning Techniques for River Discharge Prediction ..:

, In: 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON),

Rahman, Md. Hasibur ; Zaman, Ifad Uz ; Ahmed, Kamran... - p. 0554-0560 , 2022

Link: https://doi.org/10.1109/UEMCON54665.2022.9965629

RT 
T1 <cTitle>2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)</cTitle>: T1 <Title>Machine Learning Techniques for River Discharge Prediction Using ERA5 and GloFAS Data</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9965629&Exemplar=1&LAN=DE
				
A1 Rahman, Md. Hasibur
A1 Zaman, Ifad Uz
A1 Ahmed, Kamran
A1 Bushra, Farah
A1 Khan, Nahian Zarif
A1 Rahman, Rashedur M.
YR 2022
K1 Support vector machines
K1 Atmospheric modeling
K1 Neural networks
K1 Weather forecasting
K1 Predictive models
K1 Discharges (electric)
K1 Rivers
K1 Climate change
K1 Root-mean-square error (RMSE)
K1 Nash-Sutcliffe Model Efficiency (NSE)
K1 Global Flood Awareness System (GloFAS)
K1 European Centre of Medium-Range Weather Forecast (ECMWF)
K1 ECMWF Reanalysis v5 (ERA5)
K1 Machine learning (ML)
K1 Copernicus Climate Data Store (CDS)
K1 Decision Tree (DT)
K1 Random Forest (RF)
K1 K-Nearest Neighbour (KNN)
SP 0554
OP 0560
LK http://dx.doi.org/https://doi.org/10.1109/UEMCON54665.2022.9965629
DO https://doi.org/10.1109/UEMCON54665.2022.9965629
SF ELIB - SuUB Bremen

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