Accurate long-term air temperature prediction with machine learning models and data reduction techniques D Fister, J Pérez-Aracil, C Peláez-Rodríguez, J Del Ser, S Salcedo-Sanz Applied Soft Computing 136, 110118, 2023 | 33* | 2023 |
Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review S Salcedo-Sanz, J Pérez-Aracil, G Ascenso, J Del Ser, D Casillas-Pérez, ... Theoretical and Applied Climatology 155 (1), 1-44, 2024 | 32* | 2024 |
Deep learning ensembles for accurate fog-related low-visibility events forecasting C Peláez-Rodríguez, J Pérez-Aracil, A de Lopez-Diz, C Casanova-Mateo, ... Neurocomputing 549, 126435, 2023 | 16 | 2023 |
A versatile multi-method ensemble for wind farm layout optimization J Pérez-Aracil, D Casillas-Pérez, S Jiménez-Fernández, L Prieto-Godino, ... Journal of Wind Engineering and Industrial Aerodynamics 225, 104991, 2022 | 15 | 2022 |
A hierarchical classification/regression algorithm for improving extreme wind speed events prediction C Peláez-Rodríguez, J Pérez-Aracil, D Fister, L Prieto-Godino, RC Deo, ... Renewable Energy 201, 157-178, 2022 | 14 | 2022 |
Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches J Pérez-Aracil, C Camacho-Gómez, AM Hernández-Díaz, E Pereira, ... Swarm and Evolutionary Computation 67, 100958, 2021 | 13 | 2021 |
Effect of Vinyl flooring on the modal properties of a steel footbridge JF Jiménez-Alonso, J Pérez-Aracil, AM Hernandez Diaz, A Sáez Applied Sciences 9 (7), 1374, 2019 | 12 | 2019 |
Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms AM Hernández-Díaz, A Bueno-Crespo, J Pérez-Aracil, JM Cecilia Applied Soft Computing 71, 826-834, 2018 | 12 | 2018 |
Eliminating stick-slip vibrations in drill-strings with a dual-loop control strategy optimised by the CRO-SL algorithm J Pérez-Aracil, C Camacho-Gómez, E Pereira, V Vaziri, SS Aphale, ... Mathematics 9 (13), 1526, 2021 | 11 | 2021 |
Submerged arches optimal design with a multi-method ensemble meta-heuristic approach J Pérez-Aracil, C Camacho-Gómez, AM Hernández-Díaz, E Pereira, ... IEEE Access 8, 215057-215072, 2020 | 11 | 2020 |
One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques AM Gómez-Orellana, D Guijo-Rubio, J Pérez-Aracil, PA Gutiérrez, ... Atmospheric Research 284, 106608, 2023 | 10 | 2023 |
Efficient prediction of fog-related low-visibility events with Machine Learning and evolutionary algorithms C Peláez-Rodríguez, J Pérez-Aracil, C Casanova-Mateo, S Salcedo-Sanz Atmospheric Research 295, 106991, 2023 | 8 | 2023 |
A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction C Peláez-Rodríguez, J Pérez-Aracil, L Prieto-Godino, S Ghimire, RC Deo, ... Journal of Wind Engineering and Industrial Aerodynamics 240, 105507, 2023 | 8 | 2023 |
Extreme low-visibility events prediction based on inductive and evolutionary decision rules: an explicability-based approach C Peláez-Rodríguez, CM Marina, J Pérez-Aracil, C Casanova-Mateo, ... Atmosphere 14 (3), 542, 2023 | 8 | 2023 |
Evolving interpretable decision trees for reinforcement learning VG Costa, J Pérez-Aracil, S Salcedo-Sanz, CE Pedreira Artificial Intelligence 327, 104057, 2024 | 7 | 2024 |
Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms J Pérez-Aracil, AM Hernández-Díaz, CM Marina, S Salcedo-Sanz Expert Systems With Applications 225, 119987, 2023 | 7 | 2023 |
Cross-entropy boosted CRO-SL for optimal power flow in smart grids CG Marcelino, J Pérez-Aracil, EF Wanner, S Jiménez-Fernández, ... Soft computing 27 (10), 6549-6572, 2023 | 7 | 2023 |
Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories AM Hernández-Díaz, J Pérez-Aracil, D Casillas-Perez, E Pereira, ... Applied Soft Computing 130, 109654, 2022 | 7 | 2022 |
Passive and active vibration isolation under isolator-structure interaction: application to vertical excitations J Pérez-Aracil, E Pereira, IM Díaz, P Reynolds Meccanica 56 (8), 1921-1935, 2021 | 7 | 2021 |
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches C Peláez-Rodríguez, J Pérez-Aracil, D Fister, R Torres-López, ... Expert Systems with Applications 238, 122264, 2024 | 6 | 2024 |