Publicaciones en las que colabora con JUAN JESUS RUIZ AGUILAR (16)

2019

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

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

  2. Efficient goods inspection demand at ports: a comparative forecasting approach

    International Transactions in Operational Research, Vol. 26, Núm. 5, pp. 1906-1934

2017

  1. Prediction of carbon monoxide (CO) atmospheric pollution concentrations using meterological variables

    WIT Transactions on Ecology and the Environment, Vol. 211, pp. 137-145

2015

  1. A novel three-step procedure to forecast the inspection volume

    Transportation Research Part C: Emerging Technologies, Vol. 56, pp. 393-414

  2. A two-stage procedure for forecasting freight inspections at Border Inspection Posts using SOMs and support vector regression

    International Journal of Production Research, Vol. 53, Núm. 7, pp. 2119-2130

  3. Characterization of pitting corrosion of stainless steel using artificial neural networks

    Materials and Corrosion, Vol. 66, Núm. 10, pp. 1084-1091

  4. Pitting corrosion behaviour modelling of stainless steel with support vector machines

    Materials and Corrosion, Vol. 66, Núm. 9, pp. 915-924

2014

  1. A comparison of forecasting methods for Ro-Ro traffic: A case study in the strait of gibraltar

    Advances in Intelligent Systems and Computing

  2. A comprehensive approach based on SVM to model pitting corrosion behaviour of en 1.4404 stainless steel

    Materials and Corrosion, Vol. 65, Núm. 10, pp. 1024-1032

  3. Breakdown potential modelling of austenitic stainless steel

    Journal of Chemometrics, Vol. 28, Núm. 3, pp. 181-191

  4. Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting

    Transportation Research Part E: Logistics and Transportation Review, Vol. 67, pp. 1-13

  5. Hybrid approaches of support vector regression and SARIMA models to forecast the inspections volume

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