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Listar por autor "Cecilia Canales, José María"

Mostrando ítems 1-20 de 38

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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 ...
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 ...
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 ...
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 ...
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, ...
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, ...
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 ...
Assignment and Take-Off Approaches for Large-Scale Autonomous UAV Swarms

Wubben, Jamie; Hernandez, Daniel; Cecilia-Canales, José María; Imberón, Baldomero; Tavares De Araujo Cesariny Calafate, Carlos Miguel; Cano, Juan-Carlos; Manzoni, Pietro; Toh, Chai Keong (Institute of Electrical and Electronics Engineers, 2023-05)

[EN] In the last decade, the popularity of UAVs has increased tremendously. Nowadays, many researchers are interested in UAV swarms. Coordinating a swarm of UAVs is a complicated task and many problems should be addressed ...
BODOQUE: An Energy-Efficient Flow Monitoring System for Ephemeral Streams

Arratia-Uribe, Benjamín Andrés; Prades, Javier; Peña-Haro, Salvador; Cecilia-Canales, José María; Manzoni, Pietro (Association for Computing Machinery (ACM), 2023-10-26)

[EN] Effective environmental monitoring is crucial for managing global environmental challenges and providing the necessary data for Environmental Intelligence (EI). This discipline involves the integration of data from ...
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 ...
Diseño de estrategias de Machine Learning para la gestión de humedales

Casino Sánchez, Virginia (Universitat Politècnica de València, 2024-09-09)

[ES] Este Trabajo Fin de Máster (TFM) se enfoca en el diseño e implementación de modelos de Machine Learning (ML) para la caracterización/modelización, en este caso concretamente la temperatura del agua, de la Laguna de ...
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 ...
Estudio sobre la percepción del estudiantado de la retroalimentación de los exámenes presenciales

Martí Campoy, Antonio; Cecilia Canales, José María; Agustí Melchor, Manuel; Atienza Vanacloig, Vicente Luis (Editorial Universitat Politècnica de València, 2023-10-06)

[EN] The assessment of learning is a fundamental aspect of the teaching-learning process and one that is continually evolving in the field of educational research. Assessment systems have been questioned in the various ...
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", ...
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 ...
Evaluation of low-power devices for smart greenhouse development

Morales-García, Juan; Bueno-Crespo, Andrés; Martínez-España, Raquel; Posadas-Yagüe, Juan-Luis; Manzoni, Pietro; Cecilia-Canales, José María (Springer-Verlag, 2023-02)

[EN] The combination of Artificial Intelligence and the Internet of Things (AIoT) is enabling the next economic revolution in which data and immediacy are at the key players. Agriculture is one of the sectors that can ...
Evaluation of synthetic data generation for intelligent climate control in greenhouses

Morales-García, Juan; Bueno-Crespo, Andrés; Terroso-Saenz, Fernando; Arcas-Túnez, Francisco; Martínez-España, Raquel; Cecilia-Canales, José María (Springer-Verlag, 2023-11)

[EN] We are witnessing the digitalization era, where artificial intelligence (AI)/machine learning (ML) models are mandatory to transform this data deluge into actionable information. However, these models require large, ...
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 ...
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 ...
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 ...