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Assessment of hybrid machine learning algorithms using TRMM..:
Ehab Gomaa
;
Bilel Zerouali
;
Salah Difi
...
http://www.sciencedirect.com/science/article/pii/S2405844023060279. , 2023
Link:
https://doi.org/10.1016/j.heliyon.2023.e18819
RT Journal T1 <Title>Assessment of hybrid machine learning algorithms using TRMM rainfall data for daily inflow forecasting in Três Marias Reservoir, eastern Brazil</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:b5d778573a5e433e8c2774781455d62c&Exemplar=1&LAN=DE A1 Ehab Gomaa A1 Bilel Zerouali A1 Salah Difi A1 Khaled A. El-Nagdy A1 Celso Augusto Guimarães Santos A1 Zaki Abda A1 Sherif S.M. Ghoneim A1 Nadjem Bailek A1 Richarde Marques da Silva A1 Jitendra Rajput A1 Enas Ali PB Elsevier YR 2023 K1 Floods K1 Empirical mode decomposition (EMD) K1 Brazilian river basin K1 Water resource management K1 Particle swarm optimization (PSO) K1 Hydrological simulation K1 Science (General) K1 Q1-390 K1 Social sciences (General) K1 H1-99 JF http://www.sciencedirect.com/science/article/pii/S2405844023060279 LK http://dx.doi.org/https://doi.org/10.1016/j.heliyon.2023.e18819 DO https://doi.org/10.1016/j.heliyon.2023.e18819 SF ELIB - SuUB Bremen
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