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Browsing by Author "Bueno-Crespo, Andrés"

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Browsing by Author "Bueno-Crespo, Andrés"

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    A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers 
    Guillén-Navarro, Miguel A.; Martínez-España, Raquel; Bueno-Crespo, Andrés; Morales-García, Juan; Ayuso, Belén; Cecilia-Canales, José María (MDPI AG, 2020-12)
    [EN] Precision agriculture is a growing sector that improves traditional agricultural processes through the use of new technologies. In southeast Spain, farmers are continuously fighting against harsh conditions caused by ...
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    A deep learning model to predict lower temperatures in agriculture 
    Guillén-Navarro, Miguel A.; Martínez-España, Raquel; Llanes, Antonio; Bueno-Crespo, Andrés; Cecilia-Canales, José María (IOS Press, 2020)
    [EN] Deep learning techniques provide a novel framework for prediction and classification in decision-making procedures that are widely applied in different fields. Precision agriculture is one of these fields where the ...
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    Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data 
    García-Cremades, Santi; Morales-García, Juan; Hernández-Sanjaime, Rocío; Martínez-España, Raquel; Bueno-Crespo, Andrés; Hernández-Orallo, Enrique; López-Espín, José J.; Cecilia-Canales, José María (Nature Publishing Group, 2021-07-26)
    [EN] We are witnessing the dramatic consequences of the COVID¿19 pandemic which, unfortunately, go beyond the impact on the health system. Until herd immunity is achieved with vaccines, the only available mechanisms for ...
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    METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking 
    Imbernón, Baldomero; Serrano, Antonio; Bueno-Crespo, Andrés; Abellán, José L.; Pérez-Sánchez, Horacio; Cecilia-Canales, José María (Oxford University Press, 2020-01-21)
    [EN] Motivation Molecular docking methods are extensively used to predict the interaction between protein-ligand systems in terms of structure and binding affinity, through the optimization of a physics-based scoring ...
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    QN-Docking: An innovative molecular docking methodology based on Q-Networks 
    Serrano, Antonio; Imbernón, Baldomero; Pérez-Sánchez, Horacio; Cecilia-Canales, José María; Bueno-Crespo, Andrés; Abellán, José L. (Elsevier, 2020-11)
    [EN] Molecular docking is often used in computational chemistry to accelerate drug discovery at early stages. Many molecular simulations are performed to select the right pharmacological candidate. However, traditional ...
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    Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network 
    Navarro, Juan M.; Martínez-España, Raquel; Bueno-Crespo, Andrés; Cecilia-Canales, José María; Martínez, Ramón (MDPI AG, 2020-02)
    [EN] Wireless acoustic sensor networks are nowadays an essential tool for noise pollution monitoring and managing in cities. The increased computing capacity of the nodes that create the network is allowing the addition ...