Machine-learning-based reconstruction of spatial distribution of plasma radiation using color visible cameras at golem tokamak

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389021%3A_____%2F23%3A00584178" target="_blank" >RIV/61389021:_____/23:00584178 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Machine-learning-based reconstruction of spatial distribution of plasma radiation using color visible cameras at golem tokamak

Original language description

The output entlitled Machine-learning-based reconstruction of spatial distribution of plasma radiation using color visible cameras at golem tokamak was presented at the 21st Conference of Czech and Slovak Physicists in September 2023.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10305 - Fluids and plasma physics (including surface physics)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

21st Conference of Czech and Slovak Physicists

ISBN

9788089855216

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

(2023)

Publisher name

Slovak Physical Society

Place of publication

Košice

Event location

Bratislava

Event date

Sep 4, 2023

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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