José Antonio Moscoso López

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 14

Top Topics

Demand Forecasting

Machine Learning

Top Venues

SOCO-CISIS-ICEUTE

Int. Trans. Oper. Res.

Publications

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) (2023)
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) (2021)
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 (2021)
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)
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)
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 (2020)
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) (2019)
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)
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)
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)
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)
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) (2019)
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)
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)
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)