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  1. 1.
    0585085 - ÚGN 2025 RIV GB eng J - Journal Article
    Nag, A. - Gupta, M. - Ross, N. S. - Klichová, Dagmar - Petrů, J. - Krolczyk, G. M. - Hloch, S.
    Real-time prediction and classification of erosion crater characteristics in pulsating water jet machining of different materials with machine learning models.
    Archives of Civil and Mechanical Engineering. Roč. 24, č. 2 (2024), č. článku 97. ISSN 1644-9665. E-ISSN 2083-3318
    R&D Projects: GA ČR(CZ) GA23-05372S
    Institutional support: RVO:68145535
    Keywords : droplet erosion * wear * machine learning * crater * prediction * pulsating water jet machining
    OECD category: Mechanical engineering
    Impact factor: 4.4, year: 2022
    Method of publishing: Limited access
    https://link.springer.com/article/10.1007/s43452-024-00908-7
    Permanent Link: https://hdl.handle.net/11104/0352844
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    UGN_0585085.pdf03.5 MBOtherrequire
     
     
  2. 2.
    0481201 - GLÚ 2018 RU eng A - Abstract
    Ivankina, T. I. - Lokajíček, Tomáš - Petružálek, Matěj - Rodkin, M. - Zel, I. Yu.
    Controversy over possible reasons for desintegration in the Rapakivi granite (Viborg, Russia): from microtexture to macrocracks.
    Condensed Matter Research at the IBR-2 : International Conference : programme and abstracts. Dubna: JINR, 2017 - (Ivankina, T.). s. 193-194. ISBN 978-5-9530-0480-0.
    [International Conference Condensed Matter Research at the IBR-2. 09.10.2017-12.10.2017, Dubna]
    Institutional support: RVO:67985831
    Keywords : Rapakivi granite * microtexture * macrocraks
    Subject RIV: DB - Geology ; Mineralogy
    Permanent Link: http://hdl.handle.net/11104/0276801
     
     

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