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Machine-learning-based reconstruction of spatial distribution of plasma radiation 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%2F61389021%3A_____%2F23%3A00584178" target="_blank" >RIV/61389021:_____/23:00584178 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • 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

  • 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

    21st Conference of Czech and Slovak Physicists

  • ISBN

    9788089855216

  • ISSN

  • e-ISSN

  • 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