Stebėti
Inés Sittón-Candanedo
Inés Sittón-Candanedo
Patvirtintas el. paštas usal.es - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
3192020
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
2952019
Machine learning predictive model for industry 4.0
IS Candanedo, EH Nieves, SR González, MTS Martín, AG Briones
Knowledge Management in Organizations: 13th International Conference, KMO …, 2018
1402018
Edge computing, iot and social computing in smart energy scenarios
I Sittón-Candanedo, RS Alonso, Ó García, L Muñoz, ...
Sensors 19 (15), 3353, 2019
1262019
Pattern extraction for the design of predictive models in industry 4.0
I Sittón, S Rodríguez
Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection-15th …, 2018
852018
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
822020
A predictive maintenance model using recurrent neural networks
A Rivas, JM Fraile, P Chamoso, A González-Briones, I Sittón, ...
14th International Conference on Soft Computing Models in Industrial and …, 2020
782020
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
522019
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
492020
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
412020
A survey on software-defined networks and edge computing over IoT
RS Alonso, I Sittón-Candanedo, S Rodríguez-González, Ó García, ...
Highlights of Practical Applications of Survivable Agents and Multi-Agent …, 2019
272019
Data protection on FinTech platforms
E Hernández, M Öztürk, I Sittón, S Rodríguez
Highlights of Practical Applications of Survivable Agents and Multi-Agent …, 2019
232019
Edge computing and adaptive fault-tolerant tracking control algorithm for smart buildings: a case study
R Casado-Vara, I Sittón-Candanedo, F De la Prieta, S Rodríguez, ...
Cybernetics and Systems 51 (7), 685-697, 2020
222020
A new approach: edge computing and blockchain for industry 4.0
I Sittón-Candanedo
Distributed Computing and Artificial Intelligence, 16th International …, 2020
172020
An edge computing tutorial
I Sittón-Candanedo, JM Corchado
Oriental Journal of Computer Science and Technology 12 (2), 34-38, 2019
172019
Semantic analysis system for industry 4.0
A Rivas, L Martín, I Sittón, P Chamoso, JJ Martín-Limorti, J Prieto, ...
Knowledge Management in Organizations: 13th International Conference, KMO …, 2018
162018
Edge computing: A review of application scenarios
I Sittón-Candanedo
Distributed Computing and Artificial Intelligence, 16th International …, 2020
152020
Diseño de un modelo predictivo en el contexto Industria 4.0
IS Candanedo, SR González, L Muñoz
KnE Engineering, 543-551, 2018
122018
Neuro-symbolic hybrid systems for industry 4.0: a systematic mapping study
I Sittón, RS Alonso, E Hernández-Nieves, S Rodríguez-Gonzalez, A Rivas
Knowledge Management in Organizations: 14th International Conference, KMO …, 2019
102019
Artificial intelligence models and techniques applied to COVID-19: A review
L Munoz, V Villarreal, M Nielsen, Y Caballero, I Sitton-Candanedo, ...
Electronics 10 (23), 2901, 2021
82021
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