Listar por autor "González Enrique, Francisco Javier"

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-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 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)

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)

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)

Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain)

Rodríguez García, María Inmaculada

; González Enrique, Francisco Javier

; Moscoso López, José Antonio

; Ruiz Águilar, Juan Jesús

; Rodríguez López, Juana Carmen; Turias Domínguez, Ignacio José

(ELSEVIER, 2021)

Deep neural networks architecture driven by problem-specific information

Urda, Daniel; Veredas Navarro, Francisco Javier; González Enrique, Francisco Javier

; Ruiz Águilar, Juan Jesús

; Jerez Aragonés, José Manuel; Turias Domínguez, Ignacio José

(Springer Nature, 2021)

Forecasting air pollutants using classification models: a case study in the Bay of Algeciras (Spain)

Rodríguez García, María Inmaculada

; Ribeiro Rodrigues, M.C.; González Enrique, Francisco Javier

; Ruiz Águilar, Juan Jesús

; Turias Domínguez, Ignacio José

(Springer, 2023-07-22)

Hourly pollutants forecasting using a deep learning approach to obtain the AQI

Moscoso López, José Antonio

; González Enrique, Francisco Javier

; Urda, Daniel; Ruiz Águilar, Juan Jesús

; Turias Domínguez, Ignacio José

(Oxford University Press, 2022)

Hyperspectral imaging and artificial neural networks for oil spills automatic detection

Carrasco García, María Gema

; Rodríguez García, María Inmaculada

; González Enrique, Francisco Javier

; Ruiz Águilar, Juan Jesús

; Alcántara Pérez, José Manuel

; Turias Domínguez, Ignacio José

(Oxford University Press, 2026-02)

Hyperspectral technology for oil spills characterisation by using feature selection

Carrasco García, María Gema

; Rodríguez García, María Inmaculada

; González Enrique, Francisco Javier

; Ruiz Águilar, Juan Jesús

; Turias Domínguez, Ignacio José

(Elsevier, 2023)

Long Short-Term Memory Approach for Short-Term Air Quality Forecasting in the Bay of Algeciras (Spain)

Rodríguez García, María Inmaculada

; Carrasco García, María Gema; González Enrique, Francisco Javier

; Ruíz Aguilar, Juan Jesús

; Turias Domínguez, Ignacio José

(MDPI, 2023)

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

González Enrique, Francisco Javier

; Turias Domínguez, Ignacio José

; Ruiz Águilar, Juan Jesús

; Moscoso López, José Antonio

; Franco, Leonardo (Springer Nature, 2019)

Listar por autor "González Enrique, Francisco Javier"

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-based forecasting system of perishable cargo flow in maritime transport ﻿

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 ﻿

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) ﻿

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

Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain) ﻿

Deep neural networks architecture driven by problem-specific information ﻿

Forecasting air pollutants using classification models: a case study in the Bay of Algeciras (Spain) ﻿

Hourly pollutants forecasting using a deep learning approach to obtain the AQI ﻿

Hyperspectral imaging and artificial neural networks for oil spills automatic detection ﻿

Hyperspectral technology for oil spills characterisation by using feature selection ﻿

Long Short-Term Memory Approach for Short-Term Air Quality Forecasting in the Bay of Algeciras (Spain) ﻿

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

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-based forecasting system of perishable cargo flow in maritime transport

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

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)

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

Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain)

Deep neural networks architecture driven by problem-specific information

Forecasting air pollutants using classification models: a case study in the Bay of Algeciras (Spain)

Hourly pollutants forecasting using a deep learning approach to obtain the AQI

Hyperspectral imaging and artificial neural networks for oil spills automatic detection

Hyperspectral technology for oil spills characterisation by using feature selection

Long Short-Term Memory Approach for Short-Term Air Quality Forecasting in the Bay of Algeciras (Spain)

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