Publications by the researcher in collaboration with SEBASTIAN DORMIDO CANTO (84)

2024

  1. Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution

    Energies , Vol. 17, Núm. 11

  2. Deep Learning Models to Reduce Stray Light in TJ-II Thomson Scattering Diagnostic

    Sensors, Vol. 24, Núm. 9

  3. Enhancing Photovoltaic Power Predictions with Deep Physical Chain Model

    Algorithms, Vol. 17, Núm. 10

  4. Un benchmark para el diseño y control de formaciones en sistemas multi-agente

    Jornadas de Automática, Núm. 45

  5. Uncertainty Detection in Supervisor–Operator Audio Records of Real Electrical Network Operations

    Electronics (Switzerland), Vol. 13, Núm. 1

2023

  1. A programmable web platform for distributed access, analysis, and visualization of data

    Fusion Engineering and Design, Vol. 197

  2. Development and Control of a Real Spherical Robot

    Sensors, Vol. 23, Núm. 8

  3. Scalability of Cyber-Physical Systems with Real and Virtual Robots in ROS 2

    Sensors, Vol. 23, Núm. 13

2022

  1. A Study about Online Experimentation

    2022 Envisioning Report For Empowering Universities

  2. Deep learning exoplanets detection by combining real and synthetic data

    PLoS ONE, Vol. 17, Núm. 5 May

  3. Desarrollo de un entorno colaborativo para aplicaciones de fusión

    Actas de las XXXVII Jornadas de Automática 7, 8 y 9 de septiembre de 2016, Madrid

  4. Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator

    Sensors, Vol. 22, Núm. 16

2021

  1. A programmable web platform for distributed data access, analysis and visualization

    13th Technical Meeting on Plasma Control Systems, Data Management and Remote Experiments in Fusion Research (IAEA-CODAC-TM2021)

  2. Nuclear Fusion Pattern Recognition by Ensemble Learning

    Complexity, Vol. 2021

2020

  1. A distributed vision-based navigation system for khepera iv mobile robots

    Sensors (Switzerland), Vol. 20, Núm. 18, pp. 1-19

  2. An estimation approach for process control based on asymmetric oscillations

    XXXVIII Jornadas de Automática: Gijón, 6, 7, y 8 de septiembre de 2017

  3. Automatic Recognition of Anomalous Patterns in Discharges by Applying Deep Learning

    Fusion Science and Technology, Vol. 76, Núm. 8, pp. 925-932

  4. Automatic recognition of anomalous patterns in discharges by recurrent neural networks

    Fusion Engineering and Design, Vol. 154

  5. Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells

    International Journal of Critical Infrastructure Protection, Vol. 29

  6. Position control of a mobile robot using reinforcement learning

    IFAC-PapersOnLine