Ingeniería Química y Tecnología de Alimentos
Departamento
IGNACIO JOSE
TURIAS DOMINGUEZ
Catedrático de Universidad
Publicaciones en las que colabora con IGNACIO JOSE TURIAS DOMINGUEZ (18)
2015
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Characterization of pitting corrosion of stainless steel using artificial neural networks
Materials and Corrosion, Vol. 66, Núm. 10, pp. 1084-1091
2014
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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
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An automatic pitting corrosion detection approach for 316L stainless steel
Materials and Design, Vol. 56, pp. 642-648
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Breakdown potential modelling of austenitic stainless steel
Journal of Chemometrics, Vol. 28, Núm. 3, pp. 181-191
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Pitting potential modelling of en 1.4404 stainless steel
Materials and Corrosion, Vol. 65, Núm. 9, pp. 881-890
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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
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Pitting potential modeling using Bayesian neural networks
Electrochemistry Communications, Vol. 35, pp. 30-33
2012
2011
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Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques
SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 6TH INTERNATIONAL CONFERENCE SOCO 2011
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Austenitic stainless steel en 1.4404 corrosion detection using classification techniques
Advances in Intelligent and Soft Computing
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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
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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
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Prediction of Peak Concentrations of PM10 in the Area of Campo de Gibraltar (Spain) Using Classification Models
SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 6TH INTERNATIONAL CONFERENCE SOCO 2011
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Prediction of peak concentrations of PM10 in the area of Campo de Gibraltar (Spain) using classification models
Advances in Intelligent and Soft Computing
2008
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Prediction models of CO, SPM and SO2 concentrations in the Campo de Gibraltar Region, Spain: A multiple comparison strategy
Environmental Monitoring and Assessment, Vol. 143, Núm. 1-3, pp. 131-146
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Prediction of CO maximum ground level concentrations in the Bay of Algeciras, Spain using artificial neural networks
Chemosphere, Vol. 70, Núm. 7, pp. 1190-1195
2006
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A competitive neural network approach for meteorological situation clustering
Atmospheric Environment, Vol. 40, Núm. 3, pp. 532-541