Ricardo S. Alonso
Cytowane przez
Cytowane przez
A review of edge computing reference architectures and a new global edge proposal
I Sittón-Candanedo, RS Alonso, JM Corchado, S Rodríguez-González, ...
Future Generation Computer Systems 99, 278-294, 2019
An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario
RS Alonso, I Sittón-Candanedo, Ó García, J Prieto, ...
Ad Hoc Networks 98, 102047, 2020
Agents and ambient intelligence: case studies
DI Tapia, A Abraham, JM Corchado, RS Alonso
Journal of Ambient Intelligence and Humanized Computing 1, 85-93, 2010
Integrating hardware agents into an enhanced multi-agent architecture for Ambient Intelligence systems
DI Tapia, JA Fraile, S Rodríguez, RS Alonso, JM Corchado
Information Sciences 222, 47-65, 2013
Edge computing, iot and social computing in smart energy scenarios
I Sittón-Candanedo, RS Alonso, Ó García, L Muñoz, ...
Sensors 19 (15), 3353, 2019
Energy efficiency in public buildings through context-aware social computing
Ó García, RS Alonso, J Prieto, JM Corchado
Sensors 17 (4), 826, 2017
Implementing a hardware-embedded reactive agents platform based on a service-oriented architecture over heterogeneous wireless sensor networks
RS Alonso, DI Tapia, J Bajo, Ó García, JF De Paz, JM Corchado
Ad Hoc Networks 11 (1), 151-166, 2013
Edge computing architectures in industry 4.0: A general survey and comparison
I Sittón-Candanedo, RS Alonso, S Rodríguez-González, JA García Coria, ...
14th International Conference on Soft Computing Models in Industrial and …, 2020
Deepint. net: a rapid deployment platform for smart territories
JM Corchado, P Chamoso, G Hernández, ASR Gutierrez, AR Camacho, ...
Sensors 21 (1), 236, 2021
Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural networks
JF De Paz, DI Tapia, RS Alonso, CI Pinzón, J Bajo, JM Corchado
Knowledge and information systems 34, 193-217, 2013
A review of k-nn algorithm based on classical and quantum machine learning
Y Mezquita, RS Alonso, R Casado-Vara, J Prieto, JM Corchado
Distributed computing and artificial intelligence, Special sessions, 17th …, 2021
A framework to improve energy efficient behaviour at home through activity and context monitoring
Ó García, J Prieto, RS Alonso, JM Corchado
Sensors 17 (8), 1749, 2017
A review on edge computing in smart energy by means of a systematic mapping study
I Sittón-Candanedo, RS Alonso, Ó García, AB Gil, S Rodríguez-González
Electronics 9 (1), 48, 2019
Deep reinforcement learning for the management of software-defined networks in smart farming
RS Alonso, I Sittón-Candanedo, R Casado-Vara, J Prieto, JM Corchado
2020 International Conference on Omni-layer Intelligent Systems (COINS), 1-6, 2020
Collaborative learning via social computing
RS Alonso, J Prieto, Ó García, JM Corchado
Frontiers of Information Technology & Electronic Engineering 20 (2), 265-282, 2019
Sylph: A platform for integrating heterogeneous wireless sensor networks in ambient intelligence systems
RS Alonso, DI Tapia, JM Corchado
International Journal of Ambient Computing and Intelligence (IJACI) 3 (2), 1-15, 2011
Introducing a distributed architecture for heterogeneous wireless sensor networks
DI Tapia, RS Alonso, JF De Paz, JM Corchado
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft …, 2009
Deep reinforcement learning for the management of software-defined networks and network function virtualization in an edge-IoT architecture
RS Alonso, I Sittón-Candanedo, R Casado-Vara, J Prieto, JM Corchado
Sustainability 12 (14), 5706, 2020
Ambient intelligence and collaborative e-learning: a new definition model
O Garcia, DI Tapia, RS Alonso, S Rodriguez, JM Corchado
Journal of Ambient Intelligence and Humanized Computing 3, 239-247, 2012
ARTIZT: applying ambient intelligence to a museum guide scenario
O García, RS Alonso, F Guevara, D Sancho, M Sánchez, J Bajo
Ambient Intelligence-Software and Applications: 2nd International Symposium …, 2011
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