Publications by the researcher in collaboration with FRANCISCO JOSE TRUJILLO ESPINOSA (14)

2015

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

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

2014

  1. 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

  2. An automatic pitting corrosion detection approach for 316L stainless steel

    Materials and Design, Vol. 56, pp. 642-648

  3. Breakdown potential modelling of austenitic stainless steel

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

  4. Pitting potential modelling of en 1.4404 stainless steel

    Materials and Corrosion, Vol. 65, Núm. 9, pp. 881-890

  5. Prediction of PM10 and SO2 exceedances to control air pollution in the Bay of Algeciras, Spain

    Stochastic Environmental Research and Risk Assessment, Vol. 28, Núm. 6, pp. 1409-1420

2013

  1. Pitting potential modeling using Bayesian neural networks

    Electrochemistry Communications, Vol. 35, pp. 30-33

2012

  1. Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques

    Journal of Applied Logic

  2. Pitting corrosion detection of austenitic stainless steel EN 1.4404 in MgCl2 solutions using a machine learning approach

    AIP Conference Proceedings

2011

  1. Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques

    SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 6TH INTERNATIONAL CONFERENCE SOCO 2011

  2. Austenitic stainless steel en 1.4404 corrosion detection using classification techniques

    Advances in Intelligent and Soft Computing

  3. Experiencias de las Cátedras de Empresa CEPSA, ACERINOX y E.ON España en la Universidad de Cádiz

    XIX Congreso Universitario de Innovación Educativa en las enseñanzas Técnicas: libro de Resúmenes

  4. Iniciativa docente innovadora en la asignatura de Técnicas de Modelado y Contaminación Atmosférica

    XIX Congreso Universitario de Innovación Educativa en las enseñanzas Técnicas: libro de Resúmenes

  5. Prediction of peak concentrations of PM10 in the area of Campo de Gibraltar (Spain) using classification models

    Advances in Intelligent and Soft Computing