Filtros : "Measurement: Food" "2021" Limpar

Filtros



Refine with date range


  • Source: Measurement. Unidade: FCF

    Subjects: MÉTODO DE MONTE CARLO, AVALIAÇÃO DE MEDICAMENTOS

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

      SEPAROVIC, Luciana e SILVA, Ricardo J. N. Bettencourt da e LOURENÇO, Felipe Rebello. Determination of intrinsic and metrological components of the correlation of multiparameter products for minimising the risks of false conformity decisions. Measurement, v. 180, p. 1-9 art. 109531 , 2021Tradução . . Disponível em: https://doi.org/10.1016/j.measurement.2021.109531. Acesso em: 27 nov. 2025.
    • APA

      Separovic, L., Silva, R. J. N. B. da, & Lourenço, F. R. (2021). Determination of intrinsic and metrological components of the correlation of multiparameter products for minimising the risks of false conformity decisions. Measurement, 180, 1-9 art. 109531 . doi:10.1016/j.measurement.2021.109531
    • NLM

      Separovic L, Silva RJNB da, Lourenço FR. Determination of intrinsic and metrological components of the correlation of multiparameter products for minimising the risks of false conformity decisions [Internet]. Measurement. 2021 ; 180 1-9 art. 109531 .[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.measurement.2021.109531
    • Vancouver

      Separovic L, Silva RJNB da, Lourenço FR. Determination of intrinsic and metrological components of the correlation of multiparameter products for minimising the risks of false conformity decisions [Internet]. Measurement. 2021 ; 180 1-9 art. 109531 .[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.measurement.2021.109531
  • Source: Measurement. Unidade: FCF

    Subjects: CROMATOGRAFIA, ESPECTROFOTOMETRIA, MÉTODO DE MONTE CARLO, PROBABILIDADE, VEROSSIMILHANÇA

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

      BERTANHA, Maria Luiza de Godoy e LOURENÇO, Felipe Rebello. Risk of false decisions in chromatographic and spectrometric identification of chemical compounds. Measurement, v. 183, p. 1-8 art. 109859, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.measurement.2021.109859. Acesso em: 27 nov. 2025.
    • APA

      Bertanha, M. L. de G., & Lourenço, F. R. (2021). Risk of false decisions in chromatographic and spectrometric identification of chemical compounds. Measurement, 183, 1-8 art. 109859. doi:10.1016/j.measurement.2021.109859
    • NLM

      Bertanha ML de G, Lourenço FR. Risk of false decisions in chromatographic and spectrometric identification of chemical compounds [Internet]. Measurement. 2021 ; 183 1-8 art. 109859.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.measurement.2021.109859
    • Vancouver

      Bertanha ML de G, Lourenço FR. Risk of false decisions in chromatographic and spectrometric identification of chemical compounds [Internet]. Measurement. 2021 ; 183 1-8 art. 109859.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.measurement.2021.109859
  • Source: Measurement. Unidade: EESC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ANÁLISE DE ONDALETAS

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

      CAOBIANCO, Luiz Gustavo e GUIDO, Rodrigo Capobianco e SILVA, Ivan Nunes da. Wavelet-based features selected with Paraconsistent Feature Engineering successfully classify events in low-voltage grids. Measurement, v. 170, 2021Tradução . . Disponível em: http://dx.doi.org/10.1016/j.measurement.2020.108711. Acesso em: 27 nov. 2025.
    • APA

      Caobianco, L. G., Guido, R. C., & Silva, I. N. da. (2021). Wavelet-based features selected with Paraconsistent Feature Engineering successfully classify events in low-voltage grids. Measurement, 170. doi:10.1016/j.measurement.2020.108711
    • NLM

      Caobianco LG, Guido RC, Silva IN da. Wavelet-based features selected with Paraconsistent Feature Engineering successfully classify events in low-voltage grids [Internet]. Measurement. 2021 ; 170[citado 2025 nov. 27 ] Available from: http://dx.doi.org/10.1016/j.measurement.2020.108711
    • Vancouver

      Caobianco LG, Guido RC, Silva IN da. Wavelet-based features selected with Paraconsistent Feature Engineering successfully classify events in low-voltage grids [Internet]. Measurement. 2021 ; 170[citado 2025 nov. 27 ] Available from: http://dx.doi.org/10.1016/j.measurement.2020.108711
  • Source: Measurement. Unidade: FCF

    Subjects: CHUMBO, ESPECTROMETRIA, ÁGUA

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

      FRANÇA, Michele Lorêdo de et al. Determining uncertainty in a simple UV-Vis spectrometry method employing dimethyl carbonate as green solvent for lead determination in water. Measurement, v. 173, p. 1-7, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.measurement.2020.108581. Acesso em: 27 nov. 2025.
    • APA

      França, M. L. de, Separovic, L., Longo Junior, L. S., Oliveira, D. C. de, Lourenço, F. R., & Calixto, L. A. (2021). Determining uncertainty in a simple UV-Vis spectrometry method employing dimethyl carbonate as green solvent for lead determination in water. Measurement, 173, 1-7. doi:10.1016/j.measurement.2020.108581
    • NLM

      França ML de, Separovic L, Longo Junior LS, Oliveira DC de, Lourenço FR, Calixto LA. Determining uncertainty in a simple UV-Vis spectrometry method employing dimethyl carbonate as green solvent for lead determination in water [Internet]. Measurement. 2021 ; 173 1-7.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.measurement.2020.108581
    • Vancouver

      França ML de, Separovic L, Longo Junior LS, Oliveira DC de, Lourenço FR, Calixto LA. Determining uncertainty in a simple UV-Vis spectrometry method employing dimethyl carbonate as green solvent for lead determination in water [Internet]. Measurement. 2021 ; 173 1-7.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.measurement.2020.108581

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2025