Filtros : "Indexado no Zentralblatt MATH" "EESC" Removido: "Inglaterra" Limpar

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  • Source: Physica A : statistical mechanics and its applications. Unidade: EESC

    Subjects: ESCOAMENTO MULTIFÁSICO, TERMODINÂMICA, ENGENHARIA MECÂNICA

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    • ABNT

      MAPELLI, Vinicius Pessoa et al. On the force scheme influence on pseudopotential method coexistence curve. Physica A : statistical mechanics and its applications, v. 599, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2022.127411. Acesso em: 31 out. 2024.
    • APA

      Mapelli, V. P., Czelusniak, L. E., Guzella, M. dos S., & Cabezas Gómez, L. (2022). On the force scheme influence on pseudopotential method coexistence curve. Physica A : statistical mechanics and its applications, 599, 1-12. doi:10.1016/j.physa.2022.127411
    • NLM

      Mapelli VP, Czelusniak LE, Guzella M dos S, Cabezas Gómez L. On the force scheme influence on pseudopotential method coexistence curve [Internet]. Physica A : statistical mechanics and its applications. 2022 ; 599 1-12.[citado 2024 out. 31 ] Available from: https://doi.org/10.1016/j.physa.2022.127411
    • Vancouver

      Mapelli VP, Czelusniak LE, Guzella M dos S, Cabezas Gómez L. On the force scheme influence on pseudopotential method coexistence curve [Internet]. Physica A : statistical mechanics and its applications. 2022 ; 599 1-12.[citado 2024 out. 31 ] Available from: https://doi.org/10.1016/j.physa.2022.127411
  • Source: Nonlinear Dynamics. Unidade: EESC

    Subjects: REDES NEURAIS, AERODINÂMICA DE AERONAVES, AEROELASTICIDADE DE AERONAVES, ENGENHARIA MECÂNICA

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    • ABNT

      PAULA, Natália Cristina Gomes de e MARQUES, Flavio Donizeti. Multi-variable Volterra kernels identification using time-delay neural networks: application to unsteady aerodynamic loading. Nonlinear Dynamics, v. 97, p. 767-780, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11071-019-05011-8. Acesso em: 31 out. 2024.
    • APA

      Paula, N. C. G. de, & Marques, F. D. (2019). Multi-variable Volterra kernels identification using time-delay neural networks: application to unsteady aerodynamic loading. Nonlinear Dynamics, 97, 767-780. doi:10.1007/s11071-019-05011-8
    • NLM

      Paula NCG de, Marques FD. Multi-variable Volterra kernels identification using time-delay neural networks: application to unsteady aerodynamic loading [Internet]. Nonlinear Dynamics. 2019 ; 97 767-780.[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/s11071-019-05011-8
    • Vancouver

      Paula NCG de, Marques FD. Multi-variable Volterra kernels identification using time-delay neural networks: application to unsteady aerodynamic loading [Internet]. Nonlinear Dynamics. 2019 ; 97 767-780.[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/s11071-019-05011-8
  • Source: Neurocomputing. Unidades: ICMC, EACH, EESC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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    • ABNT

      RIBEIRO, Patrícia B et al. Automatic segmentation of breast masses using enhanced ICA mixture model. Neurocomputing, v. no 2013, p. 61-71, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2012.08.062. Acesso em: 31 out. 2024.
    • APA

      Ribeiro, P. B., Romero, R. A. F., Oliveira, P. R., Schiabel, H., & Verçosa, L. B. (2013). Automatic segmentation of breast masses using enhanced ICA mixture model. Neurocomputing, no 2013, 61-71. doi:10.1016/j.neucom.2012.08.062
    • NLM

      Ribeiro PB, Romero RAF, Oliveira PR, Schiabel H, Verçosa LB. Automatic segmentation of breast masses using enhanced ICA mixture model [Internet]. Neurocomputing. 2013 ; no 2013 61-71.[citado 2024 out. 31 ] Available from: https://doi.org/10.1016/j.neucom.2012.08.062
    • Vancouver

      Ribeiro PB, Romero RAF, Oliveira PR, Schiabel H, Verçosa LB. Automatic segmentation of breast masses using enhanced ICA mixture model [Internet]. Neurocomputing. 2013 ; no 2013 61-71.[citado 2024 out. 31 ] Available from: https://doi.org/10.1016/j.neucom.2012.08.062

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