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Semi-supervised deep networks for plasma state identification

    1.
    SYSNO0564063
    TitleSemi-supervised deep networks for plasma state identification
    Author(s) Zorek, M. (CZ)
    Škvára, V. (CZ)
    Smidl, L. (CZ)
    Pevný, T. (CZ)
    Seidl, Jakub (UFP-V) [TOK] RID
    Grover, Ondřej (UFP-V) [TOK] ORCID
    Corespondence/seniorZorek, M. - Korespondující autor
    Source Title Plasma Physics and Controlled Fusion. Roč. 64, č. 12 (2022). - : Institute of Physics Publishing
    Article number125004
    Document TypeČlánek v odborném periodiku
    Grant LM2018117 GA MŠMT - Ministry of Education, Youth and Sports (MEYS), CZ - Czech Republic
    GA19-15229S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
    Institutional supportUFP-V - RVO:61389021
    Languageeng
    CountryGB
    Keywords plasma * neural networks * semi-supervised learning * classification
    Cooperating institutions Czech Tech Univ, Dept Comp Sci, FEE, Prague, Czech Republic (Czech Republic)
    URLhttps://iopscience.iop.org/article/10.1088/1361-6587/ac9926
    Permanent Linkhttps://hdl.handle.net/11104/0341367
     
Number of the records: 1  

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