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Water Research|January 24, 2020
Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methodsMaría Castrillo, Álvaro López GarcíaData in Brief|September 18, 2024
Dataset on sub-daily vertical profiles of physicochemical parameters and chlorophyll concentration in El Val reservoir, together with its daily meteorological data, storage state and downstream flow (2018-2022)María Castrillo, Fernando Aguilar, Daniel García-DíazThe Science of the Total Environment|January 23, 2019
Model-based evaluation of a trickling filter facility upgrade to biological nutrient removalRubén Díez-Montero, María Castrillo, Marta Casao, et al.Water Research|October 23, 2023
Deep learning based soft-sensor for continuous chlorophyll estimation on decentralized dataJudith Sáinz-Pardo Díaz, María Castrillo, Álvaro López GarcíaScientific Reports|May 15, 2023
Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain's case studyIgnacio Heredia Cacha, Judith Sáinz-Pardo Díaz, María Castrillo, et al.Pageof 1