Jorge Pérez-Aracil
Orcid: 0000-0002-4456-9886
According to our database1,
Jorge Pérez-Aracil
authored at least 29 papers
between 2018 and 2025.
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Collaborative distances:
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Bibliography
2025
Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting.
Expert Syst. J. Knowl. Eng., February, 2025
2024
TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization.
Expert Syst. J. Knowl. Eng., December, 2024
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches.
Expert Syst. Appl., March, 2024
Artif. Intell., February, 2024
Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information.
Knowl. Based Syst., January, 2024
A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic.
Knowl. Based Syst., 2024
CoRR, 2024
An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression.
Comput. Methods Programs Biomed., 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Advances in Artificial Intelligence, 2024
2023
Neurocomputing, September, 2023
Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms.
Expert Syst. Appl., September, 2023
Soft Comput., May, 2023
Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques.
Appl. Soft Comput., March, 2023
2022
Optimal vibration isolation and alignment over non-rigid bases with the CRO-SL ensemble.
Eng. Appl. Artif. Intell., 2022
New Probabilistic-Dynamic Multi-Method Ensembles for Optimization based on the CRO-SL.
CoRR, 2022
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques.
CoRR, 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review.
CoRR, 2022
Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories.
Appl. Soft Comput., 2022
Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches.
Swarm Evol. Comput., 2021
2020
Submerged Arches Optimal Design With a Multi-Method Ensemble Meta-Heuristic Approach.
IEEE Access, 2020
2018
Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms.
Appl. Soft Comput., 2018