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

Dyna (Medellín, Colombia), 2016-01, Vol.83 (195), p.163-172

2016

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Breakdown potential modelling of austenitic stainless steel

Journal of chemometrics, 2014-03, Vol.28 (3), p.181-191

2014

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

International transactions in operational research, 2019-03, Vol.26 (2), p.642-666

2019

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Efficient goods inspection demand at ports: a comparative forecasting approach

International transactions in operational research, 2019-09, Vol.26 (5), p.1906-1934

2019

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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)

Sensors (Basel, Switzerland), 2021-03, Vol.21 (5), p.1770

2021

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

Advances in Computational Intelligence, p.856-867

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

Neurocomputing (Amsterdam), 2021-09, Vol.452, p.487-497

2021

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

Neurocomputing (Amsterdam), 2020-05, Vol.391, p.282-291

2020

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

Sustainability, 2023-03, Vol.15 (6), p.5089

2023

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A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume

Advances in Computational Intelligence, p.806-817

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Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar

Advances in Computational Intelligence, p.818-831

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

Stochastic environmental research and risk assessment, 2019-03, Vol.33 (3), p.801-815

2019

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

Applied sciences, 2020-12, Vol.10 (23), p.8326

2020

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

Journal of marine science and engineering, 2024-03, Vol.12 (3), p.397

2024

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ESTIMATION OF NO2 CONCENTRATION VALUES IN A MONITORING SENSOR NETWORK USING A FUSION APPROACH

Fresenius environmental bulletin, 2019-02, Vol.28 (2), p.681

2019

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Towards the numerical ground-borne vibrations predictive models as a design tool for railway lines: A starting point THE

Transportation research procedia (Online), 2021, Vol.58, p.363-369

2021

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

Corrosion reviews, 2016-03, Vol.34 (1-2), p.113-125

2016

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

Hybrid Artificial Intelligent Systems, p.563-574

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

Stochastic environmental research and risk assessment, 2021-10, Vol.35 (10), p.1999-2019

2021

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

International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, p.357-366

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

Logic journal of the IGPL, 2023-07, Vol.31 (4), p.722-738

2023

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

Logic journal of the IGPL, 2024-05

2024

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

Transportation research. Part E, Logistics and transportation review, 2014-07, Vol.67, p.1-13

2014

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Una experiencia en Industria 4.0 en los grados del ámbito de la Ingeniería Industrial y la Ingeniería Civil de la ETSI de Algeciras

Modelling in science education and learning, 2023-01, Vol.16 (1), p.29-34

2023

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

Optimization and Learning, p.69-81

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

Breakdown potential modelling of austenitic stainless steel

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

Efficient goods inspection demand at ports: a comparative forecasting approach

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)

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

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

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

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

A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume

Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar

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

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

ESTIMATION OF NO2 CONCENTRATION VALUES IN A MONITORING SENSOR NETWORK USING A FUSION APPROACH

Towards the numerical ground-borne vibrations predictive models as a design tool for railway lines: A starting point THE

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

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

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

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

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

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

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

Una experiencia en Industria 4.0 en los grados del ámbito de la Ingeniería Industrial y la Ingeniería Civil de la ETSI de Algeciras

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

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