AYUDANTE DE INVESTIGACIÓN
Contrato Predoctoral
PUBLICACIONES
2025
Modelado basado en datos de procesos industriales aplicando Reservoir Computing PhD Thesis
Universidad de León, 2025.
ESN with Delayed Inputs to Model Industrial Processes Proceedings Article
En: Engineering Applications of Neural Networks, pp. 141–153, Springer Nature Switzerland, Cham, 2025, ISBN: 978-3-031-96196-0.
Modelado de sistemas industriales no lineales mediante SINDyc para la construcción de gemelos digitales Proceedings Article
En: XX Simposio CEA de Control Inteligente: libro de actas. Universidad de Huelva, 2025.
Adaptive model based on ESN for anomaly detection in industrial systems Journal Article
En: Evolving Systems, vol. 16, no. 1, pp. 25, 2025, ISSN: 1868-6486.
2024
Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop Journal Article
En: Neural Computing and Applications, vol. 37, iss. 17, pp. 10507-10519, 2024.
Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics Proceedings Article
En: ESANN 2024 proceesdings, pp. 455–460, Ciaco - i6doc.com, Bruges (Belgium) and online, 2024, ISBN: 978-2-87587-090-2.
Deep Echo State Networks for Modelling of Industrial Systems Proceedings Article
En: Engineering Applications of Neural Networks, pp. 106–119, Springer Nature Switzerland, Cham, 2024, ISBN: 978-3-031-62495-7.
2023
Echo State Networks for anomaly detection in industrial systems Journal Article
En: IFAC-PapersOnLine, vol. 56, no. 2, pp. 1472–1477, 2023, ISSN: 2405-8963.
Principal Component Modes of Reservoir Dynamics in Reservoir Computing Proceedings Article
En: IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 434–445, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
Adaptive Model for Industrial Systems Using Echo State Networks Proceedings Article
En: Engineering Applications of Neural Networks, pp. 367–378, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
2022
Control de caudal con un sensor virtual basado en técnicas de deep learning Proceedings Article
En: XLIII Jornadas de Automática, pp. 368–375, Universidade da Coruña. Servizo de Publicacións 2022.
Sensor virtual de caudal basado en técnicas de deep learning Proceedings Article
En: XVII Simposio CEA de Control Inteligente, pp. 81-86, 2022.