INFORMÁTICA INDUSTRIAL
GI3
University of Padua
Padua, ItaliaUniversity of Padua-ko ikertzaileekin lankidetzan egindako argitalpenak (14)
2024
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Overview of T and D-T results in JET with ITER-like wall
Nuclear Fusion, Vol. 64, Núm. 11
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Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time
Nuclear Fusion, Vol. 64, Núm. 4
2022
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Disruption prediction with artificial intelligence techniques in tokamak plasmas
Nature Physics, Vol. 18, Núm. 7, pp. 741-750
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Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions
Nature Physics, Vol. 18, Núm. 7, pp. 776-782
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Frontiers in data analysis methods: From causality detection to data driven experimental design
Plasma Physics and Controlled Fusion, Vol. 64, Núm. 2
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Overview of JET results for optimising ITER operation
Nuclear Fusion, Vol. 62, Núm. 4
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Performance Analysis of the Centroid Method Predictor Implemented in the JET Real Time Network
Plasma Physics and Controlled Fusion, Vol. 64, Núm. 11
2020
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A linear equation based on signal increments to predict disruptive behaviours and the time to disruption on jet
Nuclear Fusion, Vol. 60, Núm. 2
2019
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A locked mode indicator for disruption prediction on JET and ASDEX upgrade
Fusion Engineering and Design, Vol. 138, pp. 254-266
2018
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Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET
Nuclear Fusion, Vol. 58, Núm. 5
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Real-Time Implementation in JET of the SPAD Disruption Predictor Using MARTe
IEEE Transactions on Nuclear Science, Vol. 65, Núm. 2, pp. 836-842
2016
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Review of disruption predictors in nuclear fusion: Classical, from scratch and anomaly detection approaches
IECON Proceedings (Industrial Electronics Conference)
2015
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Advanced disruption predictor based on the locked mode signal: Application to JET
Proceedings of Science
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Disruption precursor detection: Combining the time and frequency domains
Proceedings - Symposium on Fusion Engineering