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Publicaciones en congresos
Ricardo S. Alonso, Inés Sittón-Candanedo, Roberto Casado-Vara, Javier Prieto, Juan M. Corchado (2020). Deep Reinforcement Learning for the management of Software-Defined Networks in Smart Farming. COINS 2020: 1-6.
Alfonso González-Briones, Roberto Garcia-Martin, Francisco Lecumberri de Alba, Juan M. Corchado (2020). Agent-Based Platform for Monitoring the Pressure Status of Fire Extinguishers in a Building. PAAMS (Workshops) 2020: 373-384.
Yeray Mezquita Martín, Javier Parra , Eugenia Pérez , Javier Prieto , Juan Manuel Corchado (2020). Blockchain-Based Systems in Land Registry, A Survey of Their Use and Economic Implications. CISIS 2020: 13-22.
Guillermo Hernández, Sara Rodríguez, Angélica González, Juan Manuel Corchado Rodríguez, Javier Prieto (2020). Video Analysis System Using Deep Learning Algorithms. ISAmI 2020: 186-199.
José A. Maestro, Sara Rodríguez, R. Casado, Javier Prieto, Juan M. Corchado (2020). Comparison of Efficient Planning and Optimization Methods of Last Mile Delivery Resources. BROADNETS 2020: 163-173.
San Román Guzmán, Agustín; Valdeolmillos Villaverde, Diego; Rivas Camacho, Alberto; González Arrieta, Angélica; Chamoso Santos, PAblo (August 2019). Creation of a Distributed NoSQL Database with Distributed Hash Tables. Hybrid Artificial Intelligent Systems. Hybrid Artificial Intelligent Systems. HAIS 2019. Lecture Notes in Artificial Intelligence . Volumen 11734, pp. 26-37. Springer, Cham.
Diogo Martinho, João Carneiro, Paulo Novais, José Neves, Juan M. Corchado, Goreti Marreiros (2019). A Conceptual Approach to Enhance the Well-Being of Elderly People.. . EPIA (2) 2019: 50 61.
Antonio J. Sánchez, Elena Hernández Nieves, Fernando de la Prieta, Juan Manuel Corchado, Sara Rodríguez (2019). Describing Interfaces in the Framework of Adaptive Interface Ecosystems. EPIA (2) 2019: 38-49.
Marta Fernandes, Alda Canito, Juan Manuel Corchado, Goreti Marreiros (2019). Fault Detection Mechanism of a Predictive Maintenance System Based on Autoregressive Integrated Moving Average Models. DCAI 2019: 171-180.
Kohei Fukuyama, Kenji Matsui, Sigeru Omatsu, Alberto Rivas, Juan Manuel Corchado (2019). Feature Extraction and Classification of Odor Using Attention Based Neural Network. DCAI 2019: 142-149.