Deep Learning for Plasma Tomography and Disruption Prediction From Bolometer Data

AuthID
 P-00R-NQM
3
Author(s)
1
Group Author(s)
JET Contributors
Document Type
Article
Year published
2020
Published
in IEEE TRANSACTIONS ON PLASMA SCIENCE, ISSN: 0093-3813
Volume: 48, Issue: 1, Pages: 36-45 (10)
Conference
1St Amer-Phys-Soc-Division-Of-Plasma-Physics (Aps-Dpp) Mini Conference on Machine Learning, Data Science, and Artificial Intelligence in Plasma Research Held During 60Th Merican-Physical-Society-Division-Of-Plasma-Physics (Aps-Dpp) Meeting, Date: NOV 05-09, 2018, Location: Portland, OR, Sponsors: Amer Phys Soc, Div Plasma Phys
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Publication Identifiers
Scopus: 2-s2.0-85078515941
Wos: WOS:000519212100006
Source Identifiers
ISSN: 0093-3813
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