Publicaciones en las que colabora con JOSE ANTONIO MOSCOSO LOPEZ (39)

2023

  1. Air pollution relevance analysis in the bay of Algeciras (Spain)

    International Journal of Environmental Science and Technology, Vol. 20, Núm. 7, pp. 7925-7938

2022

  1. Hourly pollutants forecasting using a deep learning approach to obtain the AQI

    Logic Journal of the IGPL

2021

  1. A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)

    Stochastic Environmental Research and Risk Assessment, Vol. 35, Núm. 10, pp. 1999-2019

  2. A machine learning-based forecasting system of perishable cargo flow in maritime transport

    Neurocomputing, Vol. 452, pp. 487-497

  3. 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, Vol. 21, Núm. 5, pp. 1-30

  4. Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain)

    Transportation Research Procedia

  5. Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain)

    R-evolucionando el transporte [Recurso electrónico]: XIV Congreso de Ingeniería del Transporte. Universidad de Burgos 6, 7 y 8 de julio 2021

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

    Advances in Intelligent Systems and Computing

  7. Prediction of container filling for the selective waste collection in Algeciras (Spain)

    Transportation Research Procedia

  8. Prediction of container filling for the selective waste collection in Algeciras (Spain)

    R-evolucionando el transporte [Recurso electrónico]: XIV Congreso de Ingeniería del Transporte. Universidad de Burgos 6, 7 y 8 de julio 2021

  9. Towards the numerical ground-borne vibrations predictive models as a design tool for railway lines: A starting point the

    Transportation Research Procedia

  10. Towards the numerical ground-borne vibrations predictive models as a design tool for railway lines: a starting point

    R-evolucionando el transporte [Recurso electrónico]: XIV Congreso de Ingeniería del Transporte. Universidad de Burgos 6, 7 y 8 de julio 2021

2020

  1. A clustering-based hybrid support vector regression model to predict container volume at seaport sanitary facilities

    Applied Sciences (Switzerland), Vol. 10, Núm. 23, pp. 1-17

  2. A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models

    Neurocomputing, Vol. 391, pp. 282-291

  3. Container demand forecasting at border posts of ports: A hybrid SARIMA-SOM-SVR approach

    Communications in Computer and Information Science

2019

  1. Spatial and meteorological relevance in NO 2 estimations: a case study in the Bay of Algeciras (Spain)

    Stochastic Environmental Research and Risk Assessment, Vol. 33, Núm. 3, pp. 801-815

  2. A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

  5. A two-stage forecasting approach for short-term intermodal freight prediction

    International Transactions in Operational Research, Vol. 26, Núm. 2, pp. 642-666