Ingeniería Térmica
TEP221
IGNACIO JOSE
TURIAS DOMINGUEZ
Catedrático de Universidad
Publicaciones en las que colabora con IGNACIO JOSE TURIAS DOMINGUEZ (31)
2019
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A two-stage forecasting approach for short-term intermodal freight prediction
International Transactions in Operational Research, Vol. 26, Núm. 2, pp. 642-666
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Efficient goods inspection demand at ports: a comparative forecasting approach
International Transactions in Operational Research, Vol. 26, Núm. 5, pp. 1906-1934
2017
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Prediction of carbon monoxide (CO) atmospheric pollution concentrations using meterological variables
WIT Transactions on Ecology and the Environment, Vol. 211, pp. 137-145
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Prediction of pitting corrosion status of EN 1.4404 stainless steel by using a 2-stage procedure based on support vector machines
Journal of Chemometrics, Vol. 31, Núm. 12
2016
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A two-stage model based on artificial neural networks to determine pitting corrosion status of 316L stainless steel
Corrosion Reviews, Vol. 34, Núm. 1-2, pp. 113-125
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Forecasting of short-term flow freight congestion: a study case of Algeciras Bay Port (Spain)
DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín, Vol. 83, Núm. 195, pp. 163-172
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Short-term Forecasting of Intermodal Freight Using ANNs and SVR: Case of the Port of Algeciras Bay
Transportation Research Procedia
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Time Analysis of the Containerized Cargo Flow in the Logistic Chain Using Simulation Tools: The Case of the Port of Seville (Spain)
Transportation Research Procedia
2015
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A novel three-step procedure to forecast the inspection volume
Transportation Research Part C: Emerging Technologies, Vol. 56, pp. 393-414
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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
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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
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Pitting corrosion behaviour modelling of stainless steel with support vector machines
Materials and Corrosion, Vol. 66, Núm. 9, pp. 915-924
2014
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A comparison of forecasting methods for Ro-Ro traffic: A case study in the strait of gibraltar
Advances in Intelligent Systems and Computing
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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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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
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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)
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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