Browsing by author "Turias Domínguez, Ignacio"

A Clustering-Based Hybrid Support Vector Regression Model to Predict Container Volume at Seaport Sanitary Facilities

Ruiz Águilar, Juan Jesús

; Moscoso López, José Antonio

; Urda, Daniel; González Enrique, Francisco Javier

; Turias Domínguez, Ignacio José

(MDPI, 2020-12)

A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)

González Enrique, Francisco Javier

; Ruiz Águilar, Juan Jesús

; Moscoso López, José Antonio

; Urda, Daniel; Turias Domínguez, Ignacio José

(Springer Nature, 2021)

A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models

Ruiz Águilar, Juan Jesús

; Urda, Daniel; Moscoso López, José Antonio

; González Enrique, Francisco Javier

; Turias Domínguez, Ignacio José

(Elsevier, 2020)

A Machine Learning Approach for Modelling Cold-Rolling Curves for Various Stainless Steels

Contreras Fortes, Julia; Rodríguez García, María Inmaculada

; Sales Lérida, David

; Sánchez Miranda, Rocío; Almagro, Juan Francisco; Turias Domínguez, Ignacio José

(Multidisciplinary Digital Publishing Institute (MDPI), 2024)

A Machine Learning Approach for the Early Diagnosis of Neurodevelopmental Impairments in Preterm Infants

Ortega León, Arantxa Mireya

(2026)

A machine learning-based forecasting system of perishable cargo flow in maritime transport

Moscoso López, José Antonio

; Urda, Daniel; Ruiz Águilar, Juan Jesús

; González Enrique, Francisco Javier

; Turias Domínguez, Ignacio José

(Elsevier, 2021)

A Novel Application of Computational Contact Tools on Nonlinear Finite Element Analysis to Predict Ground-Borne Vibrations Generated by Trains in Ballasted Tracks

García Moreno, Andrés

; López, Antonio Alonso; Carrasco García, María Gema

; Turias Domínguez, Ignacio José

; Ruiz Águilar, Juan Jesús

(Multidisciplinary Digital Publishing Institute (MDPI), 2024)

A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction

Ruiz Águilar, Juan Jesús

; Turias Domínguez, Ignacio José

; González Enrique, Francisco Javier

; Urda Muñoz, Daniel; Elizondo, David (Springer Nature, 2021)

Air Pollution forecasting using Long Short-Term Memory Networks in the Bay of Algeciras (Spain)

Rodríguez García, María Inmaculada

; Carrasco García, María Gema

; González Enrique, Francisco Javier

; Ruiz Águilar, Juan Jesús

; Turias Domínguez, Ignacio José

(Elsevier, 2023)

Air Pollution PM10 Forecasting Maps in the Maritime Area of the Bay of Algeciras (Spain)

Rodríguez García, María Inmaculada

; Carrasco García, María Gema; Rodrigues Ribeiro, Maria da Conceição; González Enrique, Francisco Javier

; Ruiz Águilar, Juan Jesús

; Turias Domínguez, Ignacio José

(MDPI, 2024)

Air pollution relevance analysis in the bay of Algeciras (Spain)

Rodríguez García, María Inmaculada

; González Enrique, Francisco Javier

; Moscoso López, José Antonio

; Ruiz Águilar, Juan Jesús

; Turias Domínguez, Ignacio José

(SPRINGER, 2022-09)

An artificial neural network ensemble approach to generate air pollution maps

Van Roode Fuentes, Steffanie; Ruiz Águilar, Juan Jesús

; González Enrique, Francisco Javier

; Turias Domínguez, Ignacio José

(Springer Nature, 2019)

An innovative method for assessing the relationship between longitudinal brain volume measurements and neurodevelopmental outcomes in preterm infants

Ortega León, Arantxa Mireya

; Urda Muñoz, Daniel; Turias Domínguez, Ignacio José

; Lubián López, Simón Pedro

; Benavente Fernández, Isabel

; Zhao, Qingyu; Jafrasteh, Bahram (Elsevier, 2025-10)

Análisis de las inspecciones a buques por el Estado Rector de Puerto en el Mou de París mediante comparación múltiple de modelos

Prieto Villar, José Manuel

(2024-02-22)

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

Prieto, Jose Manuel; Amor-Esteban, Víctor; Almorza Gomar, David

; Turias Domínguez, Ignacio José

; Piniella Corbacho, Francisco

(MDPI, 2023)

Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)

González Enrique, Francisco Javier

; Ruiz Águilar, Juan Jesús

; Moscoso López, José Antonio

; Urda, Daniel; Deka, Lipika; Turias Domínguez, Ignacio José

(MDPI, 2021-03)

Characterization of pitting corrosion of stainless steel using artificial neural networks

Jiménez Come, María Jesús

; Turias Domínguez, Ignacio José

; Ruiz Águilar, Juan Jesús

; Trujillo Espinosa, Francisco José

(2015)

Chlorophyll-α forecasting using LSTM, bidirectional LSTM and GRU networks in El Mar Menor (Spain)

González Enrique, Francisco Javier

; Rodríguez García, María Inmaculada

; Ruiz Águilar, Juan Jesús

; Carrasco García, María Gema

; Enguix, Ivan Felis; Turias Domínguez, Ignacio José

(Oxford University Press, 2024)

Clasificación de los puertos españoles mediante análisis cluster

Camarero, A.; Camarero, A.; Cerbán Jiménez, María del Mar

; Turias Domínguez, Ignacio José

; González-Cancelas, N. (CONSEJO SUPERIOR INVESTIGACIONES CIENTIFICAS-CSIC, 2019-06)

Una comparativa entre redes neuronales artificiales y métodos clásicos para la predicción de la movilidad entre zonas de transporte.Aplicación práctica en el Campo de Gibraltar, España

Rodríguez Rueda, Pedro J.; Turias Domínguez, Ignacio José

(Universidad Nacional de Colombia, 2017)

Browsing by author "Turias Domínguez, Ignacio"

A Clustering-Based Hybrid Support Vector Regression Model to Predict Container Volume at Seaport Sanitary Facilities ﻿

A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain) ﻿

A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models ﻿

A Machine Learning Approach for Modelling Cold-Rolling Curves for Various Stainless Steels ﻿

A Machine Learning Approach for the Early Diagnosis of Neurodevelopmental Impairments in Preterm Infants ﻿

A machine learning-based forecasting system of perishable cargo flow in maritime transport ﻿

A Novel Application of Computational Contact Tools on Nonlinear Finite Element Analysis to Predict Ground-Borne Vibrations Generated by Trains in Ballasted Tracks ﻿

A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction ﻿

Air Pollution forecasting using Long Short-Term Memory Networks in the Bay of Algeciras (Spain) ﻿

Air Pollution PM10 Forecasting Maps in the Maritime Area of the Bay of Algeciras (Spain) ﻿

Air pollution relevance analysis in the bay of Algeciras (Spain) ﻿

An artificial neural network ensemble approach to generate air pollution maps ﻿

An innovative method for assessing the relationship between longitudinal brain volume measurements and neurodevelopmental outcomes in preterm infants ﻿

Análisis de las inspecciones a buques por el Estado Rector de Puerto en el Mou de París mediante comparación múltiple de modelos ﻿

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 ﻿

Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain) ﻿

Characterization of pitting corrosion of stainless steel using artificial neural networks ﻿

Chlorophyll-α forecasting using LSTM, bidirectional LSTM and GRU networks in El Mar Menor (Spain) ﻿

Clasificación de los puertos españoles mediante análisis cluster ﻿

Una comparativa entre redes neuronales artificiales y métodos clásicos para la predicción de la movilidad entre zonas de transporte.Aplicación práctica en el Campo de Gibraltar, España ﻿

A Clustering-Based Hybrid Support Vector Regression Model to Predict Container Volume at Seaport Sanitary Facilities

A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)

A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models

A Machine Learning Approach for Modelling Cold-Rolling Curves for Various Stainless Steels

A Machine Learning Approach for the Early Diagnosis of Neurodevelopmental Impairments in Preterm Infants

A machine learning-based forecasting system of perishable cargo flow in maritime transport

A Novel Application of Computational Contact Tools on Nonlinear Finite Element Analysis to Predict Ground-Borne Vibrations Generated by Trains in Ballasted Tracks

A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction

Air Pollution forecasting using Long Short-Term Memory Networks in the Bay of Algeciras (Spain)

Air Pollution PM10 Forecasting Maps in the Maritime Area of the Bay of Algeciras (Spain)

Air pollution relevance analysis in the bay of Algeciras (Spain)

An artificial neural network ensemble approach to generate air pollution maps

An innovative method for assessing the relationship between longitudinal brain volume measurements and neurodevelopmental outcomes in preterm infants

Análisis de las inspecciones a buques por el Estado Rector de Puerto en el Mou de París mediante comparación múltiple de modelos

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

Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)

Characterization of pitting corrosion of stainless steel using artificial neural networks

Chlorophyll-α forecasting using LSTM, bidirectional LSTM and GRU networks in El Mar Menor (Spain)

Clasificación de los puertos españoles mediante análisis cluster

Una comparativa entre redes neuronales artificiales y métodos clásicos para la predicción de la movilidad entre zonas de transporte.Aplicación práctica en el Campo de Gibraltar, España