Deep Learning for Plasma Tomography and Disruption Prediction From Bolometer Data

AuthID
P-00R-NQM
3
Author(s)
Ferreira, DR
·
Carvalho, PJ
·
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
Indexing
Publication Identifiers
Scopus: 2-s2.0-85078515941
Wos: WOS:000519212100006
Source Identifiers
ISSN: 0093-3813
Export Publication Metadata
Marked List
Citations
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.



CORE Conference
No information about CORE Rank

During the preprocessing phase, only publications of type 'Proceedings Paper' or 'Proceedings' are automatically processed to identify their CORE Rank.

TIP: If your publication's CORE Rank is missing, you can contact with your institutional manager to have the correct ranking manually added to the record.

Journal Factors
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.