Machine-Learning-Based Reconstruction of Spatial Distribution of Plasma Radia- tion Using Color Visible Cameras at GOLEM Tokamak
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F23%3A00374861" target="_blank" >RIV/68407700:21340/23:00374861 - isvavai.cz</a>
Alternative codes found
RIV/61389021:_____/23:00584178
Result on the web
<a href="https://www.scopus.com/record/display.uri?fedsrfIntegrator=COSMADRALI-SCOCIT&origin=fedsrf&view=basic&eid=2-s2.0-85183600182" target="_blank" >https://www.scopus.com/record/display.uri?fedsrfIntegrator=COSMADRALI-SCOCIT&origin=fedsrf&view=basic&eid=2-s2.0-85183600182</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Machine-Learning-Based Reconstruction of Spatial Distribution of Plasma Radia- tion Using Color Visible Cameras at GOLEM Tokamak
Original language description
This paper presents a machine-learning-based prediction model for spatial distribution of plasma radiation at the GOLEM tokamak using the “Sci-Kit Learn” library in Python programming environment. A dataset of images captured by two visible color cameras with crossed view and corresponding tomography reconstruction of radiation function for different plasma discharges have been used to train the supervised Machine Learning model.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10305 - Fluids and plasma physics (including surface physics)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Machine-Learning-Based Reconstruction of Spatial Distribution of Plasma Radia- tion Using Color Visible Cameras at GOLEM Tokamak
ISBN
978-80-89855-21-6
ISSN
—
e-ISSN
—
Number of pages
2
Pages from-to
59-60
Publisher name
Slovak Physical Society
Place of publication
—
Event location
Bratislava
Event date
Sep 4, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—