Leveraging Recurrent Neural Networks for Flood Prediction and Assessment

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Detalles Bibliográficos
Publicado en:	Hydrology vol. 12, no. 4 (2025), p. 90
Autor Principal:	Heidari Elnaz
Outros autores:	Samadi Vidya, Khan, Abdul A
Publicado:	MDPI AG
Materias:	US Geological Survey United States > US Gauges Datasets Watersheds Feature selection Machine learning Long short-term memory Pearson distributions Return flow Variability Precipitation Flood forecasting Regions Recurrent neural networks Artificial intelligence Information processing Fluid dynamics Frequency analysis Stream flow Flood predictions Flash floods Discharge Accuracy Data processing Deep learning Models Forecasting Floods Data assimilation Data analysis Flash flooding Hydrology Learning algorithms Adaptability Predictions Neural networks Complexity Discharge frequency Physical simulation
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