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

Advances in Computational Intelligence, p.806-817

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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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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 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 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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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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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

Dyna (Medellín, Colombia), 2017, Vol.84 (200), p.209-216

2017

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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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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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Deep neural networks architecture driven by problem-specific information

Neural computing & applications, 2021-08, Vol.33 (15), p.9403-9423

2021

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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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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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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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A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data

Bioinformatics and Biomedical Engineering, p.419-430

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

Composites science and technology, 2005-03, Vol.65 (3), p.609-619

2005

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

Environmental monitoring and assessment, 2008-08, Vol.143 (1-3), p.131-146

2008

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A competitive neural network approach for meteorological situation clustering

Atmospheric environment (1994), 2006, Vol.40 (3), p.532-541

2006

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Neurodevelopmental Impairments Prediction in Premature Infants Based on Clinical Data and Machine Learning Techniques

Stats (Basel, Switzerland), 2024-07, Vol.7 (3), p.685-696

2024

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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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Air Pollution PM[sub.10] Forecasting Maps in the Maritime Area of the Bay of Algeciras

Journal of marine science and engineering, 2024-02, Vol.12 (3)

2024

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Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO 2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)

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

2021

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Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance

Optimization and Learning, p.58-68

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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)

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

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

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

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

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

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

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

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

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

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

Deep neural networks architecture driven by problem-specific information

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

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

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

A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data

Breakdown potential modelling of austenitic stainless steel

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

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

A competitive neural network approach for meteorological situation clustering

Neurodevelopmental Impairments Prediction in Premature Infants Based on Clinical Data and Machine Learning Techniques

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

Air Pollution PM[sub.10] Forecasting Maps in the Maritime Area of the Bay of Algeciras

Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO 2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)

Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance

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