JUAN JOSÉ FUERTES MARTÍNEZ-rekin lankidetzan egindako argitalpenak (72)

2024

  1. An Approach to Develop Digital Twins in Industry

    Sensors, Vol. 24, Núm. 3

  2. Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder

    Integrated Computer-Aided Engineering, Vol. 31, Núm. 2, pp. 157-172

2023

  1. Adaptive Model for Industrial Systems Using Echo State Networks

    Communications in Computer and Information Science

  2. Gemelo digital de una célula electro-neumática robotizada

    XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza

  3. Hands-on training in industrial cybersecurity for a multidisciplinary Master's degree

    IFAC-PapersOnLine

  4. Hierarchical Prediction in Incomplete Submetering Systems Using a CNN

    Communications in Computer and Information Science

  5. 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. Demostradores para la formación en digitalización de la industria

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

  3. Design of Platforms for Experimentation in Industrial Cybersecurity

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

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

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

  5. Remote training in cybersecurity for industrial control systems

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

2021

  1. Environment for Education on Industry 4.0

    IEEE Access, Vol. 9, pp. 144395-144405

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

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

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

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

2020

  1. Development of a Remote Industrial Laboratory for Automatic Control based on Node-RED

    IFAC-PapersOnLine

  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

2019

  1. A data-driven approach for enhancing the efficiency in chiller plants: A hospital case study

    Energies, Vol. 12, Núm. 5

  2. A deep learning approach for fusing sensor data from screw compressors

    Sensors (Switzerland), Vol. 19, Núm. 13