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2020 – today
- 2021
[c18]Marta Plaza-Hernández, Inés Sittón-Candanedo, Ricardo S. Alonso, Luis C. Martínez-de Iturrate, Javier Prieto
, Kalliopi Kravari, Theodoros I. Kosmanis, George Katranas, Miguel Pedro Silva, Juan M. Corchado:
Edge Computing and Internet of Things Based Platform to Improve the Quality of Life of the Silver Economy on Leisure Cruise Ships. ISCSIC 2021: 159-163- 2020
- [j4]Ricardo S. Alonso, Inés Sittón-Candanedo, Óscar García, Javier Prieto, Sara Rodríguez-González:
An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario. Ad Hoc Networks 98 (2020) - [j3]Roberto Casado-Vara, Inés Sittón-Candanedo, Fernando de la Prieta, Sara Rodríguez, José Luís Calvo-Rolle, Ganesh Kumar Venayagamoorthy, Pastora Vega, Javier Prieto:
Edge Computing and Adaptive Fault-Tolerant Tracking Control Algorithm for Smart Buildings: A Case Study. Cybern. Syst. 51(7): 685-697 (2020) - [c17]Ricardo S. Alonso, Inés Sittón-Candanedo, Roberto Casado-Vara, Javier Prieto, Juan M. Corchado:
Deep Reinforcement Learning for the management of Software-Defined Networks in Smart Farming. COINS 2020: 1-6 - [c16]Mehmet Öztürk, Ricardo S. Alonso, Óscar García, Inés Sittón-Candanedo, Javier Prieto:
Livestock Welfare by Means of an Edge Computing and IoT Platform. ISAmI 2020: 156-165
2010 – 2019
- 2019
- [j2]Inés Sittón-Candanedo, Ricardo S. Alonso, Juan M. Corchado, Sara Rodríguez-González, Roberto Casado-Vara:
A review of edge computing reference architectures and a new global edge proposal. Future Gener. Comput. Syst. 99: 278-294 (2019) - [j1]Inés Sittón-Candanedo, Ricardo S. Alonso, Óscar García, Lilia Muñoz, Sara Rodríguez-González:
Edge Computing, IoT and Social Computing in Smart Energy Scenarios. Sensors 19(15): 3353 (2019) - [c15]Inés Sittón-Candanedo:
Edge Computing: A Review of Application Scenarios. DCAI (Special Sessions) 2019: 197-200 - [c14]Inés Sittón-Candanedo:
A New Approach: Edge Computing and Blockchain for Industry 4.0. DCAI (Special Sessions) 2019: 201-204 - [c13]Inés Sittón, Ricardo S. Alonso, Elena Hernández Nieves, Sara Rodríguez-González, Alberto Rivas:
Neuro-Symbolic Hybrid Systems for Industry 4.0: A Systematic Mapping Study. KMO 2019: 455-465 - [c12]Elena Hernández Nieves, Mehmet Öztürk, Inés Sittón, Sara Rodríguez:
Data Protection on Fintech Platforms. PAAMS (Workshops) 2019: 223-233 - [c11]Ricardo S. Alonso, Inés Sittón-Candanedo, Sara Rodríguez-González, Óscar García, Javier Prieto:
A Survey on Software-Defined Networks and Edge Computing over IoT. PAAMS (Workshops) 2019: 289-301 - [c10]Inés Sittón-Candanedo, Ricardo S. Alonso, Sara Rodríguez-González, José Alberto García Coria, Fernando de la Prieta:
Edge Computing Architectures in Industry 4.0: A General Survey and Comparison. SOCO 2019: 121-131 - [c9]Alberto Rivas, Jesús M. Fraile, Pablo Chamoso, Alfonso González-Briones, Inés Sittón, Juan M. Corchado:
A Predictive Maintenance Model Using Recurrent Neural Networks. SOCO 2019: 261-270 - [c8]Roberto Casado-Vara, Fernando de la Prieta, Sara Rodríguez, Inés Sittón, José Luís Calvo-Rolle, Ganesh Kumar Venayagamoorthy, Pastora Vega, Javier Prieto:
Adaptive Fault-Tolerant Tracking Control Algorithm for IoT Systems: Smart Building Case Study. SOCO 2019: 481-490 - 2018
- [c7]Inés Sittón-Candanedo:
A Self-organized Multiagent System for Industry 4.0. DCAI (Special Sessions) 2018: 409-413 - [c6]Inés Sittón-Candanedo, Elena Hernández Nieves, Sara Rodríguez-González, M. Teresa Santos-Martín, Alfonso González-Briones:
Machine Learning Predictive Model for Industry 4.0. KMO 2018: 501-510 - [c5]Alberto Rivas, Lucía Martín Gómez, Inés Sittón, Pablo Chamoso, Javier J. Martín-Limorti, Javier Prieto, Alfonso González-Briones:
Semantic Analysis System for Industry 4.0. KMO 2018: 537-548 - [c4]Elena Hernández Nieves, Inés Sittón, Sara Rodríguez, Ana Belén Gil, Roberto J. García:
An Investment Recommender Multi-agent System in Financial Technology. SOCO-CISIS-ICEUTE 2018: 3-10 - [c3]Inés Sittón-Candanedo, Sara Rodríguez-González, Fernando de la Prieta, Angélica González Arrieta:
MASPI: A Multi Agent System for Prediction in Industry 4.0 Environment. SOCO-CISIS-ICEUTE 2018: 197-206 - [c2]María Navarro-Cáceres, Lucía Martín Gómez, Inés Sittón-Candanedo, Sara Rodríguez-González, Belén Pérez Lancho:
Modeling a Synaesthete System to Generate a Tonal Melody from a Color Distribution. SOCO-CISIS-ICEUTE 2018: 230-240 - 2017
- [c1]Inés Sittón, Sara Rodríguez:
Pattern Extraction for the Design of Predictive Models in Industry 4.0. PAAMS (Special Sessions) 2017: 258-261
Coauthor Index
aka: Sara Rodríguez-González
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