I. Turias

发表

Prediction of CO maximum ground level concentrations in the Bay of Algeciras, Spain using artificial neural networks.

J M Gorriz, P L Galindo, C G Puntonet, 2008, Chemosphere.

Characterization of pitting corrosion of stainless steel using artificial neural networks

M. J. Jiménez-Come, I. Turias, F. Trujillo, 2015 .

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

Ignacio J. Turias, M. J. Jiménez-Come, I. Turias, 2016 .

Breakdown potential modelling of austenitic stainless steel

M. J. Jiménez-Come, I. Turias, F. Trujillo, 2014 .

An automatic pitting corrosion detection approach for 316L stainless steel

M. J. Jiménez-Come, I. Turias, F. Trujillo, 2014 .

Pitting potential modeling using Bayesian neural networks

Ignacio J. Turias, M. J. Jiménez-Come, F. J. Trujillo, 2013 .

Pitting corrosion behaviour modelling of stainless steel with support vector machines

M. J. Jiménez-Come, I. Turias, J. J. Ruiz-Aguilar, 2015 .

Pitting potential modelling of EN 1.4404 stainless steel

M. J. Jiménez-Come, I. Turias, F. Trujillo, 2014 .

Prediction models of CO, SPM and SO2 concentrations in the Campo de Gibraltar Region, Spain: a multiple comparison strategy

I. Turias, F. J. González, P. Galindo, 2008, Environmental monitoring and assessment.

A comprehensive approach based on SVM to model pitting corrosion behaviour of EN 1.4404 stainless steel

M. J. Jiménez-Come, I. Turias, F. Trujillo, 2014 .

Efficient goods inspection demand at ports: a comparative forecasting approach

José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, 2019, Int. Trans. Oper. Res..

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

José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, 2019, Int. Trans. Oper. Res..

Spatial and meteorological relevance in NO2 estimations: a case study in the Bay of Algeciras (Spain)

Ignacio J. Turias, Leonardo Franco, Juan Jesús Ruiz-Aguilar, 2019, Stochastic Environmental Research and Risk Assessment.

Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure

José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, 2017, SOCO-CISIS-ICEUTE.

Short-term forecasting of intermodal freight using ANNs and SVR: Case of the Port of Algeciras Bay

Juan Jesús Ruiz-Aguilar, María del Mar Cerbán, José Antonio Moscoso-López, 2016 .

Forecasting of short-term flow freight congestion: A study case of Algeciras Bay Port (Spain)

Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, M. J. Jiménez-Come, 2016 .

A novel three-step procedure to forecast the inspection volume

Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, M. J. Jiménez-Come, 2015 .

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

Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, M. J. Jiménez-Come, 2015 .

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

Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, M. J. Jiménez-Come, 2014 .

Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume

Juan J. Ruiz-Aguilar, Ignacio J. Turias, M. J. Jiménez-Come, 2014, HAIS.

A Comparison of Forecasting Methods for Ro-Ro Traffic: A Case Study in the Strait of Gibraltar

Juan J. Ruiz-Aguilar, José Antonio Moscoso López, Ignacio J. Turias, 2014, DepCoS-RELCOMEX.

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

F. J. Trujillo, M. J. Jiménez-Come, I. J. Turias, 2014, Stochastic Environmental Research and Risk Assessment.

Modelling the effective thermal conductivity of an unidirectional composite by the use of artificial neural networks

Ignacio J. Turias, Pedro L. Galindo, José M. Gutiérrez, 2005 .

Time Analysis of the Containerized Cargo Flow in the Logistic Chain Using Simulation Tools: The Case of the Port of Seville (Spain)☆

Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, María del Mar Cerbán, 2016 .

Simulating the Landside Congestion in a Container Terminal. The Experience of the Port of Naples (Italy)

María del Mar Cerbán, M. J. González, Gracia Buiza, 2014 .

SVR-Ensemble Forecasting Approach for Ro-Ro Freight at Port of Algeciras (Spain)

José Antonio Moscoso López, Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, 2018, SOCO-CISIS-ICEUTE.

A competitive neural network approach for meteorological situation clustering

Ignacio J. Turias, Pedro L. Galindo, Francisco J. González, 2006 .

Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques

Ignacio J. Turias, M. J. Jiménez-Come, María Jesús Jiménez-Come, 2012, J. Appl. Log..

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

M. J. Jiménez-Come, M. L. Martín, I. Turias, 2012 .

Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques

Ignacio J. Turias, M. J. Jiménez-Come, María Jesús Jiménez-Come, 2011, SOCO.

Application of Multivariate Statistical Techniques as an Indicator of Variability of the Effects of COVID-19 on the Paris Memorandum of Understanding on Port State Control

F. Piniella, I. Turias, D. Almorza-Gomar, 2023, Mathematics.

Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach

David Almorza, Francisco Piniella, Jose Manuel Prieto, 2021, Mathematics.

PREDICTION OF CARBON MONOXIDE (CO) ATMOSPHERIC POLLUTION CONCENTRATIONS USING METEROLOGICAL VARIABLES

Ignacio J. Turias, Leonardo Franco, José M. Jerez, 2017 .