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Fecha de publicaciónTítuloAutor(es)
2020A linear equation based on signal increments to predict disruptive behaviours and the time to disruption on JETVega, Jesús; Murari, Andrea; Dormido-Canto, Sebastián; Hernández, Francisco; Cruz, Tomás; Gadariya, Dhaval; Rattá, Giuseppe A.
2019Adaptive Learning for Disruption Prediction in Non-Stationary ConditionsMurari, Andrea; Lungaroni, Michele; Gelfusa, Michela; Peluso, Emmanuele; Vega, Jesús
2018Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JETMurari, Andrea; Lungaroni, Michele; Peluso, Emmanuele; Gaudio, Pasqualino; Vega, Jesús; Dormido-Canto, Sebastián; Baruzzo, Matteo; Gelfusa, Michela
2019Assessment of linear disruption predictors using JT-60U dataVega, Jesús; Hernández, Francisco; Dormido-Canto, Sebastián; Isayama, A; Joffrin, Emmanuel; Matsunaga, Go; Suzuki, T
2022Disruption prediction with artificial intelligence techniques in tokamak plasmasVega, Jesús; Murari, Andrea; Dormido-Canto, Sebastián; Rattá, Giuseppe A.; Gelfusa, Michela
2021PHAD: a phase-oriented disruption prediction strategy for avoidance, prevention, and mitigation in JETRattá, Giuseppe A.; Vega, Jesús; Murari, Andrea; Gadariya, Dhaval
2021Scaling laws of the energy confinement time in stellarators without renormalization factorsMurari, Andrea; Peluso, Emmanuele; Vega, Jesús; García-Regaña, José M.; Velasco, José L.; Fuchert, Golo; Gelfusa, Michela
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