Filtros : "Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)" "ANÁLISE DE DADOS" Limpar

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  • Source: Sport Sciences for Health. Unidade: EEFE

    Subjects: ESPORTES DE ATAQUE E DEFESA, ANÁLISE DE DADOS, ENVELHECIMENTO, DESEMPENHO ESPORTIVO

    Acesso à fonteDOIHow to cite
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    • ABNT

      ALBUQUERQUE, Maicon Rodrigues et al. Do weight categories prevent athletes from the relative age effect: a meta-analysis of combat sports. Sport Sciences for Health, v. 12, n. 2, p. 133-139, 2016Tradução . . Disponível em: https://doi.org/10.1007/s11332-016-0282-0. Acesso em: 14 maio 2024.
    • APA

      Albuquerque, M. R., Fukuda, D. H., Costa, V. T. da, Lopes, M. C., & Franchini, E. (2016). Do weight categories prevent athletes from the relative age effect: a meta-analysis of combat sports. Sport Sciences for Health, 12( 2), 133-139. doi:10.1007/s11332-016-0282-0
    • NLM

      Albuquerque MR, Fukuda DH, Costa VT da, Lopes MC, Franchini E. Do weight categories prevent athletes from the relative age effect: a meta-analysis of combat sports [Internet]. Sport Sciences for Health. 2016 ; 12( 2): 133-139.[citado 2024 maio 14 ] Available from: https://doi.org/10.1007/s11332-016-0282-0
    • Vancouver

      Albuquerque MR, Fukuda DH, Costa VT da, Lopes MC, Franchini E. Do weight categories prevent athletes from the relative age effect: a meta-analysis of combat sports [Internet]. Sport Sciences for Health. 2016 ; 12( 2): 133-139.[citado 2024 maio 14 ] Available from: https://doi.org/10.1007/s11332-016-0282-0
  • Source: Appita Journal. Unidade: EP

    Subjects: TECNOLOGIA DE CELULOSE E PAPEL, CONTROLE DE PROCESSOS, ANÁLISE DE DADOS

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    • ABNT

      ALMEIDA, Gustavo Matheus de e CARDOSO, Marcelo e PARK, Song Won. Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots. Appita Journal, v. 65, n. Ja 2012, p. 78-86, 2012Tradução . . Acesso em: 14 maio 2024.
    • APA

      Almeida, G. M. de, Cardoso, M., & Park, S. W. (2012). Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots. Appita Journal, 65( Ja 2012), 78-86.
    • NLM

      Almeida GM de, Cardoso M, Park SW. Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots. Appita Journal. 2012 ; 65( Ja 2012): 78-86.[citado 2024 maio 14 ]
    • Vancouver

      Almeida GM de, Cardoso M, Park SW. Detecting an abnormality in a recovery boiler using dynamic multivariate data analysis with parallel coordinate plots. Appita Journal. 2012 ; 65( Ja 2012): 78-86.[citado 2024 maio 14 ]
  • Source: International Journal of Computational Intelligence and Applications. Unidade: EP

    Subjects: REDES NEURAIS, ANÁLISE DE DADOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      ALMEIDA, Gustavo Matheus de et al. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, v. 9, n. 1, p. 69-86, 2010Tradução . . Disponível em: https://doi.org/10.1142/S146902681000277X. Acesso em: 14 maio 2024.
    • APA

      Almeida, G. M. de, Cardoso, M., Rena, D. C., & Park, S. W. (2010). Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, 9( 1), 69-86. doi:10.1142/S146902681000277X
    • NLM

      Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2024 maio 14 ] Available from: https://doi.org/10.1142/S146902681000277X
    • Vancouver

      Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2024 maio 14 ] Available from: https://doi.org/10.1142/S146902681000277X

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