Publications by the researcher in collaboration with SERAFÍN ALONSO CASTRO (55)

2023

  1. Echo State Networks for anomaly detection in industrial systems

    IFAC-PapersOnLine

  2. Guidelines to develop demonstration models on industry 4.0 for engineering training

    International Journal of Computer Integrated Manufacturing, Vol. 36, Núm. 10, pp. 1465-1481

  3. Hierarchical Prediction in Incomplete Submetering Systems Using a CNN

    Communications in Computer and Information Science

  4. Virtual Flow Meter for an Industrial Process

    Communications in Computer and Information Science

2022

  1. Armario para la formación en automatización y control de subestaciones eléctricas de tracción

    XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)

  2. Control de caudal con un sensor virtual basado en técnicas de deep learning

    XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)

  3. Demostradores para la formación en digitalización de la industria

    Premios a la innovación en la enseñanza, Núm. 21, pp. 65-116

  4. Design of Platforms for Experimentation in Industrial Cybersecurity

    Applied Sciences (Switzerland), Vol. 12, Núm. 13

  5. Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network

    Communications in Computer and Information Science, Vol. 1600 CCIS, pp. 247-259

  6. Remote training in cybersecurity for industrial control systems

    IFAC-PapersOnLine, Vol. 55, Núm. 17, pp. 320-325

2021

  1. Evaluation of feature learning for anomaly detection in network traffic

    Evolving Systems, Vol. 12, Núm. 1, pp. 79-90

  2. Virtual sensor for probabilistic estimation of the evaporation in cooling towers

    Integrated Computer-Aided Engineering, Vol. 28, Núm. 4, pp. 369-381

2020

  1. Estimating cooling production and monitoring efficiency in chillers using a soft sensor

    Neural Computing and Applications, Vol. 32, Núm. 23, pp. 17291-17308

  2. Feature extraction from building submetering networks using deep learning

    Sensors (Switzerland), Vol. 20, Núm. 13, pp. 1-21

  3. Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network

    Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, pp. 155-166