Filtros : "Gomes, Fabrício Maciel" Removidos: "Silva, Aneirson Francisco da" "Brasil" Limpar

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  • Source: Quality Innovation Prosperity-Kvalita Inovacia Prosperita. Unidades: EEL, EP

    Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, SIMULAÇÃO (APRENDIZAGEM)

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

      GOMES, Fabrício Maciel et al. Optimisation of Multiple Response Processes Using Different Modeling Techniques. Quality Innovation Prosperity-Kvalita Inovacia Prosperita, v. 27, n. 3, p. 18-36, 2023Tradução . . Disponível em: https://doi.org/10.12776/qip.v27i3.1899. Acesso em: 29 ago. 2024.
    • APA

      Gomes, F. M., Imamura, C. H., Sampaio, N. A. de S., Pereira, F. M., Andrade, H. de S., & Silva, M. B. (2023). Optimisation of Multiple Response Processes Using Different Modeling Techniques. Quality Innovation Prosperity-Kvalita Inovacia Prosperita, 27( 3), 18-36. doi:10.12776/qip.v27i3.1899
    • NLM

      Gomes FM, Imamura CH, Sampaio NA de S, Pereira FM, Andrade H de S, Silva MB. Optimisation of Multiple Response Processes Using Different Modeling Techniques [Internet]. Quality Innovation Prosperity-Kvalita Inovacia Prosperita. 2023 ;27( 3): 18-36.[citado 2024 ago. 29 ] Available from: https://doi.org/10.12776/qip.v27i3.1899
    • Vancouver

      Gomes FM, Imamura CH, Sampaio NA de S, Pereira FM, Andrade H de S, Silva MB. Optimisation of Multiple Response Processes Using Different Modeling Techniques [Internet]. Quality Innovation Prosperity-Kvalita Inovacia Prosperita. 2023 ;27( 3): 18-36.[citado 2024 ago. 29 ] Available from: https://doi.org/10.12776/qip.v27i3.1899
  • Source: International journal of statistics and probability. Unidade: EEL

    Assunto: ENGENHARIA

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

      PIMENTA, Cristie Diego et al. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, v. 9, n. 1, p. 9-29, 2019Tradução . . Disponível em: https://doi.org/10.5539/ijsp.v9n1p9. Acesso em: 29 ago. 2024.
    • APA

      Pimenta, C. D., Silva, M. B., Campos, R. L. M., & Gomes, F. M. (2019). Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, 9( 1), 9-29. doi:10.5539/ijsp.v9n1p9
    • NLM

      Pimenta CD, Silva MB, Campos RLM, Gomes FM. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2019 ;9( 1): 9-29.[citado 2024 ago. 29 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9
    • Vancouver

      Pimenta CD, Silva MB, Campos RLM, Gomes FM. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2019 ;9( 1): 9-29.[citado 2024 ago. 29 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9

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