Filtros : "Silva, Aneirson Francisco da" Limpar

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  • Source: International journal of advanced manufacturing technology. Unidade: EEL

    Assunto: AGLUTINAÇÃO

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    • ABNT

      SILVA, Aneirson Francisco da et al. A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods. International journal of advanced manufacturing technology, v. 22, p. 4139-4164, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00170-022-10152-z. Acesso em: 04 jun. 2024.
    • APA

      Silva, A. F. da, Aranda, K. M., Marins, F. A. S., Dias, E. X., & Miranda, R. de C. (2022). A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods. International journal of advanced manufacturing technology, 22, 4139-4164. doi:10.1007/s00170-022-10152-z
    • NLM

      Silva AF da, Aranda KM, Marins FAS, Dias EX, Miranda R de C. A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods [Internet]. International journal of advanced manufacturing technology. 2022 ;22 4139-4164.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1007/s00170-022-10152-z
    • Vancouver

      Silva AF da, Aranda KM, Marins FAS, Dias EX, Miranda R de C. A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods [Internet]. International journal of advanced manufacturing technology. 2022 ;22 4139-4164.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1007/s00170-022-10152-z
  • Source: Knowledge-based systems. Unidade: EEL

    Subjects: ENGENHARIA DE PRODUÇÃO, PROGRAMAÇÃO GENÉTICA

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      GOMES, Fabrício Maciel et al. Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions. Knowledge-based systems, v. 179, p. 21-33, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2019.05.002. Acesso em: 04 jun. 2024.
    • APA

      Gomes, F. M., Pereira, F. M., Silva, A. F. da, & Silva, M. B. (2019). Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions. Knowledge-based systems, 179, 21-33. doi:10.1016/j.knosys.2019.05.002
    • NLM

      Gomes FM, Pereira FM, Silva AF da, Silva MB. Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions [Internet]. Knowledge-based systems. 2019 ;179 21-33.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.knosys.2019.05.002
    • Vancouver

      Gomes FM, Pereira FM, Silva AF da, Silva MB. Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions [Internet]. Knowledge-based systems. 2019 ;179 21-33.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.knosys.2019.05.002
  • Source: Materials & design. Unidade: EEL

    Assunto: ENGENHARIA DE PRODUÇÃO

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      SILVA, Aneirson Francisco da et al. Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process. Materials & design, v. 173, p. 1-13, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.matdes.2019.107776. Acesso em: 04 jun. 2024.
    • APA

      Silva, A. F. da, Marins, F. A. S., Dias, E. X., & Oliveira, J. B. da S. (2019). Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process. Materials & design, 173, 1-13. doi:10.1016/j.matdes.2019.107776
    • NLM

      Silva AF da, Marins FAS, Dias EX, Oliveira JB da S. Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process [Internet]. Materials & design. 2019 ;173 1-13.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.matdes.2019.107776
    • Vancouver

      Silva AF da, Marins FAS, Dias EX, Oliveira JB da S. Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process [Internet]. Materials & design. 2019 ;173 1-13.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.matdes.2019.107776
  • Source: Preparative biochemistry and biotechnology. Unidade: EEL

    Assunto: ENGENHARIA QUÍMICA

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      BREDDA, Eduardo Henrique et al. Mixture design as a potential tool in modeling the effect of light wavelength on Dunaliella salina cultivation: an alternative solution to increase microalgae lipid productivity for biodiesel production. Preparative biochemistry and biotechnology, v. 50, n. 4, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1080/10826068.2019.1697936. Acesso em: 04 jun. 2024.
    • APA

      Bredda, E. H., Silva, A. F. da, Silva, M. B., & Da Rós, P. C. M. (2019). Mixture design as a potential tool in modeling the effect of light wavelength on Dunaliella salina cultivation: an alternative solution to increase microalgae lipid productivity for biodiesel production. Preparative biochemistry and biotechnology, 50( 4), 1-11. doi:10.1080/10826068.2019.1697936
    • NLM

      Bredda EH, Silva AF da, Silva MB, Da Rós PCM. Mixture design as a potential tool in modeling the effect of light wavelength on Dunaliella salina cultivation: an alternative solution to increase microalgae lipid productivity for biodiesel production [Internet]. Preparative biochemistry and biotechnology. 2019 ;50( 4): 1-11.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1080/10826068.2019.1697936
    • Vancouver

      Bredda EH, Silva AF da, Silva MB, Da Rós PCM. Mixture design as a potential tool in modeling the effect of light wavelength on Dunaliella salina cultivation: an alternative solution to increase microalgae lipid productivity for biodiesel production [Internet]. Preparative biochemistry and biotechnology. 2019 ;50( 4): 1-11.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1080/10826068.2019.1697936

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