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  1. 1.
    0564063 - ÚFP 2023 RIV GB eng J - Journal Article
    Zorek, M. - Škvára, V. - Smidl, L. - Pevný, T. - Seidl, Jakub - Grover, Ondřej
    Semi-supervised deep networks for plasma state identification.
    Plasma Physics and Controlled Fusion. Roč. 64, č. 12 (2022), č. článku 125004. ISSN 0741-3335. E-ISSN 1361-6587
    R&D Projects: GA MŠMT(CZ) LM2018117; GA ČR(CZ) GA19-15229S
    Institutional support: RVO:61389021
    Keywords : plasma * neural networks * semi-supervised learning * classification
    OECD category: Fluids and plasma physics (including surface physics)
    Impact factor: 2.2, year: 2022
    Method of publishing: Limited access
    https://iopscience.iop.org/article/10.1088/1361-6587/ac9926
    Permanent Link: https://hdl.handle.net/11104/0341367
     
    Scientific data in ASEP :
    Plasma state identification in the COMPASS tokamak
     

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