| Pressure management in water distribution systems: Current status, proposals and future trends DJ Vicente, L Garrote, R Sánchez, D Santillán Journal of Water Resources Planning and Management, 2015 | 166 | 2015 |
| Treatment of solar radiation by spatial and temporal discretization for modeling the thermal response of arch dams D Santillán, E Salete, DJ Vicente, MÁ Toledo Journal of Engineering Mechanics 140 (11), 05014001, 2014 | 40 | 2014 |
| Application of the System of Environmental Economic Accounting for Water SEEAW to the Spanish part of the Duero basin: lessons learned DJ Vicente, L Rodríguez-Sinobas, L Garrote, R Sánchez Science of the Total Environment - STOTEN, 2016 | 36 | 2016 |
| Anomaly detection in dam behaviour with machine learning classification models F Salazar, A Conde, J Irazábal, DJ Vicente Water 13 (17), 2387, 2021 | 20 | 2021 |
| A review on thermo-mechanical modelling of arch dams during construction and operation: Effect of the reference temperature on the stress field F Salazar, DJ Vicente, J Irazábal, I De-Pouplana, J San Mauro Archives of Computational Methods in Engineering 27, 1681-1707, 2020 | 15 | 2020 |
| Scientific Big Data Visualization: a coupled tools approach A Artigues, FM Cucchietti, CT Montes, D Vicente, H Calmet, G Marin, ... Supercomputing Frontiers and Innovations 1 (3), 4-18, 2014 | 14 | 2014 |
| An interactive tool for automatic predimensioning and numerical modeling of arch dams DJ Vicente, J San Mauro, F Salazar, CM Baena Mathematical Problems in Engineering 2017 (1), 9856938, 2017 | 11 | 2017 |
| A methodology for calibrating parameters in discrete element models based on machine learning surrogates J Irazábal, F Salazar, DJ Vicente Computational Particle Mechanics 10 (5), 1031-1047, 2023 | 6 | 2023 |
| Identification of dam behavior by means of machine learning classification models F Salazar, A Conde, DJ Vicente Numerical Analysis of Dams: Proceedings of the 15th ICOLD International …, 2021 | 4 | 2021 |
| Combination of advanced numerical methods and machine learning for dam safety assessment F Salazar, BM Crookston, MA Hariri-Ardebili, A Conde, DJ Vicente, ... 11th ICOLD European Club Symposium, Crete, Greece, 2019 | 4 | 2019 |
| Applying water accounting methods through statistical data and simulation models: the Duero transboundary watershed DJ Vicente, L Rodríguez-Sinobas, L Garrote, R Sánchez Advanced Tools for Integrated Water Resources Management 3, 115, 2018 | 4 | 2018 |
| Diseño de maniobras de gestión de presiones en sectores de distribución de agua y análisis de su impacto DJV González, LG de Marcos, RS Calvo Ph. D. Thesis, 2017 | 4* | 2017 |
| Evaluation of different machine learning approaches for predicting high concentration episodes of ground-level ozone: A case study in Catalonia, Spain DJ Vicente, F Salazar, SR López-Chacón, C Soriano, J Martin-Vide Atmospheric Pollution Research 15 (3), 101999, 2024 | 2 | 2024 |
| Computer-aided design and analysis of arch dams F Salazar, J San Mauro, DJ Vicente, CM Baena, C Granell, L Gracia, ... 14th International Benchmark Workshop on Numerical Analysis of Dams, 2017 | 2 | 2017 |
| Hacia el diseño óptimo de un plan de gestión de presiones en redes de distribución de agua urbana DJ Vicente Gonzalez, EH Sánchez, R Sánchez Calvo, Á Martínez, ... II Jornadas de Ingeniería del Agua, 1-1, 2011 | 2* | 2011 |
| Tratamiento y análisis inteligente de datos del comportamiento de estructuras hidráulicas A Conde, F Salazar, DJ Vicente Jan, 2019 | 1 | 2019 |
| Analysis of temporal and spatial variability of water balance components in a Mediterranean river basin: the Spanish part of the Duero basin. DJ Vicente, L Rodríguez-Sinobas, F Salazar, L Garrote Geophysical Research Abstracts 21, 2019 | 1 | 2019 |
| Implementation of Machine Learning Models for Predicting the Inactivation Performance of Escherichia Coli in Wastewater Through Varied Photo-Chemical … P Pascacio, DJ Vicente, F Salazar, I Berruti, S Nahim, MI Polo, I Oller International Conference on Wider-Uptake of Water Resource Recovery from …, 2024 | | 2024 |
| Towards the Optimization of Advanced Oxidation Processes Using Machine Learning Modelling: The DIGIT4WATER Project DJ Vicente, P Pascacio, F Salazar, J Rodríguez-Chueca, MI Polo, I Oller International Conference on Wider-Uptake of Water Resource Recovery from …, 2024 | | 2024 |
| Predictive modeling of Enterococcus sp. removal with limited data from different advanced oxidation processes: A machine learning approach P Pascacio, DJ Vicente, F Salazar, S Guerra-Rodríguez, ... Journal of Environmental Chemical Engineering 12 (3), 112530, 2024 | | 2024 |
Luis GarroteTechnical University of Madrid在 upm.es 的电子邮件经过验证
Luis GarroteTechnical University of Madrid在 upm.es 的电子邮件经过验证
Fernando SalazarCIMNE在 cimne.upc.edu 的电子邮件经过验证
LEONOR RODRIGUEZ SINOBASPROFESSOR OF HYDRAULIC ENGEENERING在 upm.es 的电子邮件经过验证