Ignacio J. Turias

发表

A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel

Daniel Urda, Héctor Mesa, Juan J. Ruiz-Aguilar, 2019, HAIS.

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 .

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..

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..

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 .

A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations

Daniel Urda, José Antonio Moscoso López, Ignacio J. Turias, 2019, IWANN.

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.

Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks

Daniel Urda, Héctor Mesa, José Antonio Moscoso López, 2019, HAIS.

Austenitic Stainless Steel EN 1.4404 Corrosion Detection Using Classification Techniques

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

Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach

Daniel Urda, José Antonio Moscoso López, Ignacio J. Turias, 2020, OLA.

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..

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.

A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain)

Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, Steffanie Van Roode, 2019, SOCO.

A competitive neural network approach for meteorological situation clustering

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

Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme

Héctor Mesa, Ignacio J. Turias, José Luis Subirats, 2017, IWANN.

Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance

Bernabé Dorronsoro, Daniel Urda, Ignacio J. Turias, 2020, OLA.

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 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 .

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.

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 .

Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks

Daniel Urda, Ignacio J. Turias, José M. Jerez, 2018, SoMeT.

Analysis of Bootstrapped Operating Efficiency in Container Ports. A Case Study in Spain and Portugal

Ignacio J. Turias, María del Mar Cerbán, Antonio Gil Ropero, 2019 .

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.

Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach

Ignacio J. Turias, David Almorza, Francisco Piniella, 2021 .

Pitting potential modeling using Bayesian neural networks

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

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

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

Efficiency Evolution of Largest Iberian Peninsula Container Ports: An Application of Malmquist Productivity Index

Ignacio J. Turias, Antonio Gil-Ropero, Mar Cerban, 2018 .

ANALYSIS OF THE GLOBAL AND TECHNICAL EFFICIENCIES OF MAJOR SPANISH CONTAINER PORTS

Ignacio J. Turias, Antonio Gil-Ropero, Mar Cerban, 2015 .

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 .

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 .