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Comparison of Machine Learning Techniques Powering Flood Early Warning Systems
OtherAbstract: Hydrological extremes (especially floods) have multiple impacts on society. Flood frequency and sevePalabras claves:Autores:Johanna Orellana-Alvear, Rolando Enrique Célleri AlvearFuentes:googleExploring a machine learning model as radar rainfall retrieval of the highest X-band radar in the world.
OtherAbstract: Quantitative precipitation estimation (QPE) from weather radar data is crucial for hydrological applPalabras claves:Autores:Johanna Orellana-Alvear, Rolando Enrique Célleri AlvearFuentes:googleFlood early warning systems using machine learning techniques: The case of the tomebamba catchment at the southern Andes of Ecuador
ArticleAbstract: Worldwide, machine learning (ML) is increasingly being used for developing flood early warning systePalabras claves:Andes, Flood early warning, forecasting, hydrological extremes, Machine learningAutores:Bendix J., Jan Jozef Albert Feyen, Johanna Orellana-Alvear, Paul Muñoz, Rolando Enrique Célleri AlvearFuentes:googlescopus