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David J. Vicente
David J. Vicente
Assistant Research Professor, International Centre for Numerical Methods in Engineering (CIMNE)
Dirección de correo verificada de cimne.upc.edu - Página principal
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Año
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
1772015
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
442014
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
412016
Anomaly detection in dam behaviour with machine learning classification models
F Salazar, A Conde, J Irazábal, DJ Vicente
Water 13 (17), 2387, 2021
242021
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
242020
Parallel software for retrieval of aerosol distribution from LIDAR data in the framework of EARLINET-ASOS
L Osterloh, C Pérez, D Böhme, JM Baldasano, C Böckmann, ...
Computer Physics Communications 180 (11), 2095-2102, 2009
182009
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
132023
Management and quality control of large neuroimaging datasets: developments from the Barcelonaβeta Brain Research Center
J Huguet, C Falcon, D Fusté, S Girona, D Vicente, JL Molinuevo, ...
Frontiers in Neuroscience 15, 633438, 2021
132021
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
132017
Factores de riesgo cardiovascular en población laboral de Alicante
D Vicente, S Martínez, VG Guillén, CR Terrés, C Pérez, JM Sánchez
Atención primaria: Publicación oficial de la Sociedad Española de Familia y …, 1991
131991
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
102024
Cluster of emerging technology: evaluation of a production HPC system based on A64FX
F Banchelli, K Peiro, G Ramirez-Gargallo, J Vinyals, D Vicente, ...
2021 IEEE International Conference on Cluster Computing (CLUSTER), 741-750, 2021
82021
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
Universidad Politécnica de Madrid Madrid, Spain, 2017
6*2017
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
52024
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
42021
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
42019
Prediction and interpretation of dam response with boosted regression trees
F Salazar, J Irazábal, DJ Vicente
Proceedings of the 16th ICOLD benchmark workshop on numerical analysis of …, 2022
32022
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
32018
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
22024
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
22017
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Artículos 1–20