Publicaciones (172) Publicaciones de SEBASTIAN DORMIDO CANTO

2024

  1. Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time

    Nuclear Fusion, Vol. 64, Núm. 4

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

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

2023

  1. A novel feature engineering approach for high-frequency financial data

    Engineering Applications of Artificial Intelligence, Vol. 125

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

    Fusion Engineering and Design, Vol. 197

  3. Development and Control of a Real Spherical Robot

    Sensors, Vol. 23, Núm. 8

  4. 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. Disruption prediction with artificial intelligence techniques in tokamak plasmas

    Nature Physics, Vol. 18, Núm. 7, pp. 741-750

  4. Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions

    Nature Physics, Vol. 18, Núm. 7, pp. 776-782

  5. Frontiers in data analysis methods: From causality detection to data driven experimental design

    Plasma Physics and Controlled Fusion, Vol. 64, Núm. 2

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

    Sensors, Vol. 22, Núm. 16

  7. Overview of JET results for optimising ITER operation

    Nuclear Fusion, Vol. 62, Núm. 4

  8. Performance Analysis of the Centroid Method Predictor Implemented in the JET Real Time Network

    Plasma Physics and Controlled Fusion, Vol. 64, Núm. 11

2021

  1. 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. A linear equation based on signal increments to predict disruptive behaviours and the time to disruption on jet

    Nuclear Fusion, Vol. 60, Núm. 2

  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. Automatic recognition of plasma relevant events: Implications for ITER

    Fusion Engineering and Design, Vol. 156