A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting

Abstract The precise monitoring and timely alerting of river water levels represent critical measures aimed at safeguarding the well-being and assets of residents in river basins. Achieving this objective necessitates the development of highly accurate river water level forecasts. Hence, a novel hyb...

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Principais autores:	Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-03-01
Colecção:	Scientific Reports
Assuntos:	Water level forecasting Singular value decomposition Kernel ridge regression Runge–Kutta algorithm Light gradient boosting machine
Acesso em linha:	https://doi.org/10.1038/s41598-025-90628-6
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