Juan Jesús Ruiz-Aguilar

21 papers Misc 1Journal 9Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hyperspectral imaging and artificial neural networks for oil spills automatic detection. Log. J. IGPL María Gema Carrasco-García, María Inmaculada Rodríguez-García, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Manuel Alcantara Pérez, Ignacio José Turias Domínguez
2025	J	`jnl`	Chlorophyll-α forecasting using LSTM, bidirectional LSTM and GRU networks in Log. J. IGPL Javier González-Enrique, María Inmaculada Rodríguez-García, Juan Jesús Ruiz-Aguilar, María Gema Carrasco-García, Ivan Felis Enguix, Ignacio J. Turias
2023	J	`jnl`	Hourly pollutants forecasting using a deep learning approach to obtain the AQI. Log. J. IGPL José Antonio Moscoso López, Javier González-Enrique, Daniel Urda, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
2023	—	`conf`	Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier. SOCO (1) María Gema Carrasco-García, María Inmaculada Rodríguez-García, Javier González-Enrique, Paloma Rocío Cubillas-Fernández, Juan Jesús Ruiz-Aguilar, Ignacio José Turias Domínguez
2022	—	`conf`	A SO SOCO María Inmaculada Rodríguez-García, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
2022	—	`conf`	Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain). SOCO Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Eduardo Madrid Navarro, Rosa Martínez Álvarez-Castellanos, Ivan Felis Enguix, José M. Jerez, Ignacio J. Turias
2021	J	`jnl`	A machine learning-based forecasting system of perishable cargo flow in maritime transport. Neurocomputing José Antonio Moscoso López, Daniel Urda, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Ignacio J. Turias
2021	J	`jnl`	A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction. Neural Comput. Appl. Juan Jesús Ruiz-Aguilar, Ignacio Turias, Javier González-Enrique, Daniel Urda, David A. Elizondo
2021	J	`jnl`	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 Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Daniel Urda, Lipika Deka, Ignacio J. Turias
2020	J	`jnl`	A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models. Neurocomputing Juan Jesús Ruiz-Aguilar, Daniel Urda, José Antonio Moscoso López, Javier González-Enrique, Ignacio J. Turias
2020	—	`conf`	Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach. OLA Juan Jesús Ruiz-Aguilar, Daniel Urda, José Antonio Moscoso López, Javier González-Enrique, Ignacio J. Turias
2020	—	`conf`	Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods. SOCO José Antonio Moscoso López, Daniel Urda, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
2019	—	`conf`	A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume. IWANN (1) Daniel Urda Muñoz, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Ignacio Turias Domínguez
2019	—	`conf`	A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations. IWANN (1) Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Steffanie Van Roode, Daniel Urda, Ignacio J. Turias
2019	—	`conf`	A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain). SOCO Steffanie Van Roode, Juan Jesús Ruiz-Aguilar, Francisco Javier Gonzalez-Enrique, Ignacio J. Turias
2019	J	`jnl`	A two-stage forecasting approach for short-term intermodal freight prediction. Int. Trans. Oper. Res. José Antonio Moscoso López, Ignacio J. Turias, María Jesús Jiménez-Come, Juan Jesús Ruiz-Aguilar, María del Mar Cerbán
2019	J	`jnl`	Efficient goods inspection demand at ports: a comparative forecasting approach. Int. Trans. Oper. Res. Juan Jesús Ruiz-Aguilar, Ignacio J. Turias, José Antonio Moscoso López, María Jesús Jiménez-Come, María del Mar Cerbán
2019	—	`conf`	Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar. IWANN (1) José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Daniel Urda, Javier González-Enrique, Ignacio José Turias
2019	Misc	`conf`	Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks. HAIS José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Daniel Urda, Héctor Mesa, Ignacio J. Turias
2018	—	`conf`	SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain). SOCO-CISIS-ICEUTE José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, Francisco Javier Gonzalez-Enrique
2017	—	`conf`	Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure. SOCO-CISIS-ICEUTE Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Ignacio J. Turias, Francisco Javier Gonzalez-Enrique