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ORCIDJuan Jesús Ruiz-Aguilar
Publications
- 2023
[j8]José Antonio Moscoso López, Javier González-Enrique
, Daniel Urda, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias:
Hourly pollutants forecasting using a deep learning approach to obtain the AQI. Log. J. IGPL 31(4): 722-738 (2023)- 2021
- [j7]José Antonio Moscoso López, Daniel Urda, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Ignacio J. Turias:
A machine learning-based forecasting system of perishable cargo flow in maritime transport. Neurocomputing 452: 487-497 (2021) - [j4]Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Daniel Urda, Lipika Deka, Ignacio J. Turias:
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 21(5): 1770 (2021) - 2020
- [j3]Juan Jesús Ruiz-Aguilar, Daniel Urda, José Antonio Moscoso López, Javier González-Enrique, Ignacio J. Turias:
A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models. Neurocomputing 391: 282-291 (2020) - [c12]Juan Jesús Ruiz-Aguilar, Daniel Urda, José Antonio Moscoso López, Javier González-Enrique, Ignacio J. Turias:
Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach. OLA 2020: 69-81 - [c11]José Antonio Moscoso López, Daniel Urda, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias:
Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods. SOCO 2020: 123-132 - 2019
- [j2]José Antonio Moscoso López, Ignacio J. Turias, María Jesús Jiménez-Come, Juan Jesús Ruiz-Aguilar, María del Mar Cerbán:
A two-stage forecasting approach for short-term intermodal freight prediction. Int. Trans. Oper. Res. 26(2): 642-666 (2019) - [j1]Juan Jesús Ruiz-Aguilar, Ignacio J. Turias, José Antonio Moscoso López, María Jesús Jiménez-Come, María del Mar Cerbán:
Efficient goods inspection demand at ports: a comparative forecasting approach. Int. Trans. Oper. Res. 26(5): 1906-1934 (2019) - [c10]Héctor Mesa, Daniel Urda, Juan J. Ruiz-Aguilar, José Antonio Moscoso López, Juan Almagro, Patricia Acosta, Ignacio J. Turias:
A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel. HAIS 2019: 504-513 - [c9]José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Daniel Urda, Héctor Mesa, Ignacio J. Turias:
Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks. HAIS 2019: 563-574 - [c7]José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Daniel Urda, Javier González-Enrique, Ignacio José Turias:
Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar. IWANN (1) 2019: 818-831 - [c6]Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Steffanie Van Roode, Daniel Urda, Ignacio J. Turias:
A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations. IWANN (1) 2019: 856-867 - 2018
- [c4]José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, Francisco Javier Gonzalez-Enrique:
SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain). SOCO-CISIS-ICEUTE 2018: 357-366 - 2017
- [c3]Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Ignacio J. Turias, Francisco Javier Gonzalez-Enrique:
Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure. SOCO-CISIS-ICEUTE 2017: 179-187 - 2014
- [c2]José Antonio Moscoso López, Juan J. Ruiz-Aguilar, Ignacio J. Turias, María Mar Cerbán, María Jesús Jiménez-Come:
A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar. DepCoS-RELCOMEX 2014: 345-353
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