Javier González-Enrique

19 papers Misc 1Journal 8Unranked 10
YearRankTypeTitle / 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
A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation.
SOCO
Damián Nimo, Javier González-Enrique, David Perez, Juan Almagro, Daniel Urda, 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
2022 — conf
Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators.
SOCO
María Inmaculada Rodríguez-García, Nawel Kouadria, Arantxa M. Ortega León, Javier González-Enrique, 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
2021 J jnl
Deep neural networks architecture driven by problem-specific information.
Neural Comput. Appl.
Daniel Urda, Francisco J. Veredas, Javier González-Enrique, Juan J. Ruiz-Aguilar, José M. Jerez, 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
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