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  1. 1.
    0100303 - FZU-D 20040238 RIV DE eng J - Journal Article
    Abdallah, J. - Abreu, P. - Adam, W. - Leitner, R. - Mašík, Jiří - Rameš, Jiří - Řídký, Jan - Todorovová, Šárka - Trávníček, Petr - Vrba, Václav
    A study of the energy evolution of event shape distributions and their means with the DELPHI detector at LEP.
    [Studie energetické závislosti rozdělení charakteristik případů a vlastnosti rozdělení v DELPHI detectoru na LEP.]
    European Physical Journal C. Roč. 29, - (2003), s. 285-312. ISSN 1434-6044. E-ISSN 1434-6052
    R&D Projects: GA ČR GA202/99/1362
    Institutional research plan: CEZ:AV0Z1010920
    Keywords : event shape distributions * differential distributions * mean values * renormalisation group invaiance
    Subject RIV: BF - Elementary Particles and High Energy Physics
    Impact factor: 3.580, year: 2003
    Permanent Link: http://hdl.handle.net/11104/0007807
     
  2. 2.
    0157508 - PAU-O 20013104 RIV US eng J - Journal Article
    Scholz, Tomáš - de Chambrier, A. - Salgado-Maldonado, G.
    Monticellia ophisterni n. sp. (Cestoda: Monticelliidae) from the swamp-eel Ophisternon aenigmaticum (Synbranchiformes) from Mexico, the first monticelliid tapeworm from North America.
    Journal of Parasitology. Roč. 87, č. 6 (2001), s. 1328-1334. ISSN 0022-3395. E-ISSN 1937-2345
    R&D Projects: GA ČR GA206/98/0591
    Keywords : parasitology
    Subject RIV: fp - Other Medical Disciplines
    Impact factor: 1.521, year: 2001
    Permanent Link: http://hdl.handle.net/11104/0054948
     
  3. 3.
    0578258 - ÚT 2024 CZ eng C - Conference Paper (international conference)
    Krejsa, Jiří - Věchet, Stanislav - Chen, K.S.
    The influence of first CNN layer initialization on training convergence.
    Engineering Mechanics 2023 : 29th International Conference. Vol. 29. Prague: Institute of Thermomechanics of the Czech Academy of Sciences, 2023 - (Radolf, V.; Zolotarev, I.), s. 135-138. ISBN 978-80-87012-84-0. ISSN 1805-8248. E-ISSN 1805-8256.
    [Engineering Mechanics 2023 /29./. Milovy (CZ), 09.05.2023-11.05.2023]
    Institutional support: RVO:61388998
    Keywords : convolution neural networks * training * initialization
    OECD category: Automation and control systems
    Result website:
    https://www.engmech.cz/im/proceedings/show_p/2023/135DOI: https://doi.org/10.21495/em2023-135
    Permanent Link: https://hdl.handle.net/11104/0351917
     

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