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Browsing by Author "Cecilia Canales, José María"

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Browsing by Author "Cecilia Canales, José María"

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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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    A high-performance IoT solution to reduce frost damages in stone fruits 
    Guillén-Navarro, Miguel A.; Martínez-España, Raquel; López, Belén; Cecilia-Canales, José María (John Wiley & Sons, 2021-01-25)
    [EN] Agriculture is one of the key sectors where technology is opening new opportunities to break up the market. The Internet of Things (IoT) could reduce the production costs and increase the product quality by providing ...
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    AI-enabled autonomous drones for fast climate change crisis assessment 
    Hernández, Daniel; Cano, Juan-Carlos; Silla, Federico; Tavares De Araujo Cesariny Calafate, Carlos Miguel; Cecilia-Canales, José María (Institute of Electrical and Electronics Engineers, 2022-05-15)
    [EN] Climate change is one of the greatest challenges for modern societies. Its consequences, often associated with extreme events, have dramatic results worldwide. New synergies between different disciplines, including ...
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    Analysis Design and Implementation of Artificial Intelligence Techniques in Edge Computing Environments 
    Hernández Vicente, Daniel (Universitat Politècnica de València, 2023-03-27)
    [ES] Edge Computing es un modelo de computación emergente basado en acercar el procesamiento a los dispositivos de captura de datos en las infraestructuras Internet of things (IoT). Edge computing mejora, entre otras cosas, ...
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    Análisis del impacto del confinamiento en los resultados de evaluación de una asignatura del grado de Ingeniería Informática 
    Calafate, Carlos; Cecilia Canales, José María; Cano Escribá, Juan Carlos (Editorial Universitat Politècnica de València, 2021-09-28)
    [EN] The sudden changes to the teaching/learning methodology derived from the COVID-19 outbreak has forced instructors to quickly adapt their standard courses to online tea-ching procedures in record time. As expected, ...
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    Análisis, diseño e implementación de un sistema de recogida y visualización en tiempo real de elementos multimedia 
    Alcarria Lozano, Pablo (Universitat Politècnica de València, 2021-09-24)
    [ES] El proyecto llevado a cabo consiste en el análisis de una aplicación de una sola página encargada de visualizar elementos multimedia de distintas redes sociales para la ampliación de ésta. Se realiza un diseño e ...
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    COVIDSensing: Social Sensing strategy for the management of the COVID-19 crisis 
    Sepúlveda, Alicia; Periñán-Pascual, Carlos; Muñoz, Andrés; Martínez-España, Raquel; Hernández-Orallo, Enrique; Cecilia-Canales, José María (MDPI AG, 2021-12)
    [EN] The management of the COVID-19 pandemic has been shown to be critical for reducing its dramatic effects. Social sensing can analyse user-contributed data posted daily in social-media services, where participants are ...
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    Enhancing the context-aware FOREX market simulation using a parallel elastic network model 
    Contreras, Antonio V.; Llanes, Antonio; Herrera, Francisco J.; Navarro, Sergio; López-Espin, Jose J.; Cecilia-Canales, José María (Springer-Verlag, 2020-03)
    [EN] Foreign exchange (FOREX) market is a decentralized global marketplace in which different participants, such as international banks, companies or investors, can buy, sell, exchange and speculate on currencies. This ...
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    Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms 
    Cecilia-Canales, José María; Cano, Juan-Carlos; Morales-García, Juan; Llanes, Antonio; Imbernón, Baldomero (MDPI AG, 2020-11)
    [EN] Internet of Things (IoT) is becoming a new socioeconomic revolution in which data and immediacy are the main ingredients. IoT generates large datasets on a daily basis but it is currently considered as "dark data", ...
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    Evaluation of Clustering Algorithms on HPC Platforms 
    Cebrian, Juan M.; Imbernón, Baldomero; Soto, Jesús; Cecilia-Canales, José María (MDPI AG, 2021-09)
    [EN] Clustering algorithms are one of the most widely used kernels to generate knowledge from large datasets. These algorithms group a set of data elements (i.e., images, points, patterns, etc.) into clusters to identify ...
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    Evaporation Forecasting through Interpretable Data Analysis Techniques 
    Garrido, M. Carmen; Cadenas, José M.; Bueno-Crespo, Andrés; Martínez-España, Raquel; Cecilia-Canales, José María; Giménez, José G. (MDPI AG, 2022-02)
    [EN] Climate change is increasing temperatures and causing periods of water scarcity in arid and semi-arid climates. The agricultural sector is one of the most affected by these changes, having to optimise scarce water ...
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    Flood Detection Using Real-Time Image Segmentation from Unmanned Aerial Vehicles on Edge-Computing Platform 
    Hernandez, Daniel; Cecilia-Canales, José María; Cano, Juan-Carlos; Tavares De Araujo Cesariny Calafate, Carlos Miguel (MDPI AG, 2022-01)
    [EN] With the proliferation of unmanned aerial vehicles (UAVs) in different contexts and application areas, efforts are being made to endow these devices with enough intelligence so as to allow them to perform complex tasks ...
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    FUDGE: a frugal edge node for advanced IoT solutions in contexts with limited resources 
    Nakamura, Kiyoshy; Manzoni, Pietro; Zennaro, Marco; Cano, Juan-Carlos; Tavares De Araujo Cesariny Calafate, Carlos Miguel; Cecilia-Canales, José María (Association for Computing Machinery (ACM), 2020-09-25)
    [EN] The growing connection between the Internet of Things (IoT) andArtificial Intelligence (AI) poses many challenges that require novelapproaches and even a rethinking of the entire communicationand processing architecture ...
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    High-throughput fuzzy clustering on heterogeneous architectures 
    Cebrian, Juan M.; Imbernón, Baldomero; Soto, Jesús; García, José M.; Cecilia-Canales, José María (Elsevier, 2020-05)
    [EN] The Internet of Things (IoT) is pushing the next economic revolution in which the main players are data and immediacy. IoT is increasingly producing large amounts of data that are now classified as "dark data'' because ...
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    Human Mobility Prediction with Region-based Flows and Water Consumption 
    Terroso-Sáenz, Fernando; Muñoz, Andrés; Fernández-Pedauyé, Julio; Cecilia-Canales, José María (Institute of Electrical and Electronics Engineers, 2021)
    [EN] We are witnessing an increasing need to accurately measure people's mobility as it has become an instrumental factor for the development of innovative services in multiple domains. In this context, several ICT solutions ...
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    Impact Assessment of Gridded Precipitation Products on Streamflow Simulations over a Poorly Gauged Basin in El Salvador 
    Jimeno-Sáez, Patricia; Blanco-Gómez, Pablo; Pérez-Sánchez, Julio; Cecilia-Canales, José María; Senent-Aparicio, Javier (MDPI AG, 2021-09)
    [EN] In this study, five open access gridded precipitation (GP) products (CFSR, MSWEPv1.1, PERSIANN-CDR, CMORPH, and CHIRPSv2.0) and local climate data were evaluated over the Grande de San Miguel (GSM) River Basin in El ...
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    Impacts of swat weather generator statistics from high-resolution datasets on monthly streamflow simulation over Peninsular Spain 
    Senent-Aparicio, Javier; Jimeno-Sáez, Patricia; López-Ballesteros, Adrián; Ginés Giménez, José; Pérez-Sánchez, Julio; Cecilia-Canales, José María; Srinivasan, Raghavan (Elsevier, 2021-06)
    [EN] Study region: Peninsular Spain. Study focus: Weather data are the key drivers of hydrological modelling. However, available weather data can present gaps in data sequences and are often limited in their spatial ...
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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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    LADEA: A Software Infrastructure for Audio Delivery and Analytics 
    Nakamura, Kiyoshy; Hernandez, Daniel; Cecilia-Canales, José María; Manzoni, Pietro; Zennaro, Marco; Cano, Juan-Carlos; Tavares De Araujo Cesariny Calafate, Carlos Miguel (Springer-Verlag, 2021-10)
    [EN] The LoRa technology enables long distance links with reduced power consumption at low cost, the main limitation being the low bandwidth that it offers. With LoRa, remote locations, like rural areas, can benefit from ...