|
|
Docu-menta >
Buscar por Autor Murari, Andrea
Mostrando resultados 1 a 7 de 7
| Fecha de publicación | Título | Autor(es) | | 2020 | A linear equation based on signal increments to predict disruptive behaviours and the time to disruption on JET | Vega, Jesús; Murari, Andrea; Dormido-Canto, Sebastián; Hernández, Francisco; Cruz, Tomás; Gadariya, Dhaval; Rattá, Giuseppe A. |
| 2019 | Adaptive Learning for Disruption Prediction in Non-Stationary Conditions | Murari, Andrea; Lungaroni, Michele; Gelfusa, Michela; Peluso, Emmanuele; Vega, Jesús |
| 2018 | Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET | Murari, Andrea; Lungaroni, Michele; Peluso, Emmanuele; Gaudio, Pasqualino; Vega, Jesús; Dormido-Canto, Sebastián; Baruzzo, Matteo; Gelfusa, Michela |
| 2022 | Disruption prediction with artificial intelligence techniques in tokamak plasmas | Vega, Jesús; Murari, Andrea; Dormido-Canto, Sebastián; Rattá, Giuseppe A.; Gelfusa, Michela |
| 2021 | PHAD: a phase-oriented disruption prediction strategy for avoidance, prevention, and mitigation in JET | Rattá, Giuseppe A.; Vega, Jesús; Murari, Andrea; Gadariya, Dhaval |
| 23-feb-2024 | Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time | Vega, Jesús; Dormido-Canto, Sebastián; Castro, Rodrigo; Fernández, J. D.; Murari, Andrea; Contributors, Jet |
| 2021 | Scaling laws of the energy confinement time in stellarators without renormalization factors | Murari, Andrea; Peluso, Emmanuele; Vega, Jesús; García-Regaña, José M.; Velasco, José L.; Fuchert, Golo; Gelfusa, Michela |
Mostrando resultados 1 a 7 de 7
|
