Javier González-Enrique

Orcid: 0000-0002-5765-369X

According to our database1, Javier González-Enrique authored at least 20 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Hourly pollutants forecasting using a deep learning approach to obtain the AQI.
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
Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

A SO<sub>2</sub> Pollution Concentrations Prediction Approach Using Autoencoders.
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

A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation.
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

Deep neural networks architecture driven by problem-specific information.
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

Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods.
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
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

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
SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain).
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


  Loading...