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María Jesús Jiménez-Come

University of Cádiz

22

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226

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A support vector machine-based ensemble algorithm for pitting corrosion modeling of EN 1.4404 stainless steel in sodium chloride solutions

2019 Materials and Corrosion-werkstoffe Und Korrosion
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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

2017 Journal of Chemometrics
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A two-stage model based on artificial neural networks to determine pitting corrosion status of 316L stainless steel

2016 Corrosion Reviews
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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)

2016 Transportation research procedia
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A two-stage procedure for forecasting freight inspections at Border Inspection Posts using SOMs and support vector regression

2015 International Journal of Production Research
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Characterization of pitting corrosion of stainless steel using artificial neural networks

2015 Materials and Corrosion-werkstoffe Und Korrosion
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A novel three-step procedure to forecast the inspection volume

2015 Transportation Research Part C-emerging Technologies
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Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume

2014 HAIS | Hybrid Artificial Intelligence Systems
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Pitting potential modelling of EN 1.4404 stainless steel

2014 Materials and Corrosion-werkstoffe Und Korrosion
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A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar

2014 RELCOMEX | DepCoS-RELCOMEX
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Citations (11)