Publicacións en colaboración con investigadores/as de Universidad de Valladolid (33)

2024

  1. An iterative neural network approach applied to human-induced force reconstruction using a non-linear electrodynamic shaker

    Heliyon, Vol. 10, Núm. 12

  2. Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information

    Knowledge-Based Systems, Vol. 283

2023

  1. Evolutionary Computation-Based Active Mass Damper Implementation for Vibration Mitigation in Slender Structures Using a Low-Cost Processor

    Actuators, Vol. 12, Núm. 6

  2. Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm

    Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol. 71, Núm. 3

  3. Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa

    Applied Sciences (Switzerland), Vol. 13, Núm. 14

2022

  1. Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

    Applied Soft Computing, Vol. 118

2020

  1. Analysis and prediction of dammed water level in a hydropower reservoir using machine learning and persistence-based techniques

    Water (Switzerland), Vol. 12, Núm. 6

  2. Evolutionary artificial neural networks for accurate solar radiation prediction

    Energy, Vol. 210

  3. Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

    Atmospheric Research, Vol. 236

  4. Persistence analysis and prediction of low-visibility events at valladolid airport, Spain

    Symmetry, Vol. 12, Núm. 6, pp. 1-18

  5. Prediction of convective clouds formation using evolutionary neural computation techniques

    Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13917-13929

2019

  1. Machine learning regressors for solar radiation estimation from satellite data

    Solar Energy, Vol. 183, pp. 768-775

2018

  1. Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  2. Efficient fog prediction with multi-objective evolutionary neural networks

    Applied Soft Computing Journal, Vol. 70, pp. 347-358

  3. Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting

    Engineering Applications of Artificial Intelligence, Vol. 69, pp. 157-167

  4. Merging ELMs with satellite data and clear-sky models for effective solar radiation estimation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Prediction of low-visibility events due to fog using ordinal classification

    Atmospheric Research, Vol. 214, pp. 64-73

2017

  1. A CRO-species optimization scheme for robust global solar radiation statistical downscaling

    Renewable Energy, Vol. 111, pp. 63-76

  2. Efficient Prediction of Low-Visibility Events at Airports Using Machine-Learning Regression

    Boundary-Layer Meteorology, Vol. 165, Núm. 2, pp. 349-370

  3. Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data

    Atmosfera, Vol. 30, Núm. 1, pp. 1-10