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Filtros : "Glen Carbon" Limpar

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  • Artigo de periodico

    Towards finding the conformal invariance of the multi-point vorticity statistics in 2d turbulence (2024)

    Grebenev, Vladimir ; Grichkov, Alexandre

    Source: Journal of Vibration Testing and System Dynamics. Unidade: IME

    Assunto: SISTEMAS DINÂMICOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      GREBENEV, Vladimir e GRICHKOV, Alexandre. Towards finding the conformal invariance of the multi-point vorticity statistics in 2d turbulence. Journal of Vibration Testing and System Dynamics, v. 8, n. 1, p. 33-45, 2024Tradução . . Disponível em: https://doi.org/10.5890/JVTSD.2024.03.003. Acesso em: 17 nov. 2024.

    • APA

      Grebenev, V., & Grichkov, A. (2024). Towards finding the conformal invariance of the multi-point vorticity statistics in 2d turbulence. Journal of Vibration Testing and System Dynamics, 8( 1), 33-45. doi:10.5890/JVTSD.2024.03.003

    • NLM

      Grebenev V, Grichkov A. Towards finding the conformal invariance of the multi-point vorticity statistics in 2d turbulence [Internet]. Journal of Vibration Testing and System Dynamics. 2024 ; 8( 1): 33-45.[citado 2024 nov. 17 ] Available from: https://doi.org/10.5890/JVTSD.2024.03.003

    • Vancouver

      Grebenev V, Grichkov A. Towards finding the conformal invariance of the multi-point vorticity statistics in 2d turbulence [Internet]. Journal of Vibration Testing and System Dynamics. 2024 ; 8( 1): 33-45.[citado 2024 nov. 17 ] Available from: https://doi.org/10.5890/JVTSD.2024.03.003

  • Artigo de periodico

    Advantages of edge-centric collective dynamics in machine learning tasks (2018)

    Verri, Filipe Alves Neto ; Urio, Paulo Roberto ; Zhao, Liang

    Source: Journal of Applied Nonlinear Dynamics. Unidades: FFCLRP, ICMC

    Subjects: PARTÍCULAS (FÍSICA NUCLEAR), APRENDIZADO COMPUTACIONAL, REDES NEURAIS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      VERRI, Filipe Alves Neto e URIO, Paulo Roberto e ZHAO, Liang. Advantages of edge-centric collective dynamics in machine learning tasks. Journal of Applied Nonlinear Dynamics, v. 7, n. 3, p. 269-285, 2018Tradução . . Disponível em: https://doi.org/10.5890/jand.2018.09.005. Acesso em: 17 nov. 2024.

    • APA

      Verri, F. A. N., Urio, P. R., & Zhao, L. (2018). Advantages of edge-centric collective dynamics in machine learning tasks. Journal of Applied Nonlinear Dynamics, 7( 3), 269-285. doi:10.5890/jand.2018.09.005

    • NLM

      Verri FAN, Urio PR, Zhao L. Advantages of edge-centric collective dynamics in machine learning tasks [Internet]. Journal of Applied Nonlinear Dynamics. 2018 ; 7( 3): 269-285.[citado 2024 nov. 17 ] Available from: https://doi.org/10.5890/jand.2018.09.005

    • Vancouver

      Verri FAN, Urio PR, Zhao L. Advantages of edge-centric collective dynamics in machine learning tasks [Internet]. Journal of Applied Nonlinear Dynamics. 2018 ; 7( 3): 269-285.[citado 2024 nov. 17 ] Available from: https://doi.org/10.5890/jand.2018.09.005
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