Juan Jesús Ruiz-Aguilar
Orcid: 0000-0002-2170-0693
According to our database1,
Juan Jesús Ruiz-Aguilar
authored at least 23 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
Log. J. IGPL, July, 2023
Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
2022
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain).
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
2021
Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain).
Sensors, 2021
Neural Comput. Appl., 2021
A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction.
Neural Comput. Appl., 2021
A machine learning-based forecasting system of perishable cargo flow in maritime transport.
Neurocomputing, 2021
2020
A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models.
Neurocomputing, 2020
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach.
Proceedings of the Optimization and Learning - Third International Conference, 2020
2019
Int. Trans. Oper. Res., 2019
Int. Trans. Oper. Res., 2019
A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain).
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume.
Proceedings of the Advances in Computational Intelligence, 2019
Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar.
Proceedings of the Advances in Computational Intelligence, 2019
A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
2018
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
2017
Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
2014
Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar.
Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30, 2014