In a world increasingly facing new challenges at the forefront of plasma scientific research and technological innovation, CNR and ISTP pledge progress and achieve an impact in the integration of research into societal practices and policy
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Neural networks
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Nuclear fusion (Online) 63 pp. 047001-1 - 047001-16 Year: 2023 DOI: 10.1088/1741-4326/acbfce
Summary report of the 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis (FDPVA)
Gonzales de Vicente S.M.; Mazon D.; Xu M.; Pinches S.; Churchill M.; Dinklage A.; Fischer R.; Murari A.; Rodriguez-Fernandez P.; Stillerman J.; Vega J.; Verdoolaege G. -
IEEE transactions on nuclear science (Online) 68 (8), pp. 2165 - 2172 Year: 2021 DOI: 10.1109/TNS.2021.3096837
Diagnostic Data Integration Using Deep Neural Networks for Real-Time Plasma Analysis
Rigoni Garola A.; Cavazzana R.; Gobbin M.; Delogu R.S.; Manduchi G.; Taliercio C.; Luchetta A. -
Nuclear fusion 60 (9), pp. 097002-1 - 097002-10 Year: 2020 DOI: 10.1088/1741-4326/aba8dd
Summary report of the 3rd IAEA technical meeting on fusion data processing validation and analysis (FDPVA)
Mazon D.; De Vicente S.M.G.; Churchill M.; Dinklage A.; Fischer R.; Jakubowski M.; Murari A.; Romanelli M.; Vega J.; Verdoolaege G.; Xu M. -
PhotonIcs & Electromagnetics Research Symposium (Progress In Electromagnetics Research Symposium) PIERS 2019, pp. 2880 - 2890 , Rome, Italy , 17-20 June, 2019 Year: 2019 DOI: 10.1109/PIERS-Spring46901.2019.9017280
Disruption Prediction Approaches Using Machine Learning Tools in Tokamaks
Sias G.; Cannas B.; Carcangiu S.; Fanni A.; Murari A.; Pau A.; JET Contributors
