Publikationen, an denen er mitarbeitet José Antonio Moscoso López (14)

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

    Advances in Intelligent Systems and Computing

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. 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)

  2. 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)

  3. 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

  4. Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar

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

  5. Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks

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

  6. Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks

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