Menu

Filtros : "Linear discriminant analysis" Limpar

Filtros

Refine with date range

  • 1

1 - 2 (2 records)

  • Artigo de periodico

    Convolution-based linear discriminant analysis for functional data classification (2021)

    Guzman, Grover Enrique Castro ; Fujita, André

    Source: Information Sciences. Unidade: IME

    Subjects: ANÁLISE MULTIVARIADA, ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS

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

    • ABNT

      GUZMAN, Grover Enrique Castro e FUJITA, André. Convolution-based linear discriminant analysis for functional data classification. Information Sciences, v. 581, p. 469-478, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.09.057. Acesso em: 02 mar. 2026.

    • APA

      Guzman, G. E. C., & Fujita, A. (2021). Convolution-based linear discriminant analysis for functional data classification. Information Sciences, 581, 469-478. doi:10.1016/j.ins.2021.09.057

    • NLM

      Guzman GEC, Fujita A. Convolution-based linear discriminant analysis for functional data classification [Internet]. Information Sciences. 2021 ; 581 469-478.[citado 2026 mar. 02 ] Available from: https://doi.org/10.1016/j.ins.2021.09.057

    • Vancouver

      Guzman GEC, Fujita A. Convolution-based linear discriminant analysis for functional data classification [Internet]. Information Sciences. 2021 ; 581 469-478.[citado 2026 mar. 02 ] Available from: https://doi.org/10.1016/j.ins.2021.09.057

  • Artigo de periodico

    Nanoelectronic discrimination of nonmalignant and malignant cells using nanotube field-effect transistors (2017)

    Silva, Guilherme O.; Michael, Zachary P.; Bian, Long; Shurin, Galina V.; Mulato, Marcelo; Shurin, Michael R.; Star, Alexander

    Source: ACS Sensors. Unidade: FFCLRP

    Subjects: SENSORES BIOMÉDICOS, NANOTUBOS DE CARBONO, ANÁLISE DISCRIMINANTE, NANOPARTÍCULAS

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

    • ABNT

      SILVA, Guilherme O. et al. Nanoelectronic discrimination of nonmalignant and malignant cells using nanotube field-effect transistors. ACS Sensors, v. 2, n. 8, p. 1128-1132, 2017Tradução . . Disponível em: https://doi.org/10.1021/acssensors.7b00383. Acesso em: 02 mar. 2026.

    • APA

      Silva, G. O., Michael, Z. P., Bian, L., Shurin, G. V., Mulato, M., Shurin, M. R., & Star, A. (2017). Nanoelectronic discrimination of nonmalignant and malignant cells using nanotube field-effect transistors. ACS Sensors, 2( 8), 1128-1132. doi:10.1021/acssensors.7b00383

    • NLM

      Silva GO, Michael ZP, Bian L, Shurin GV, Mulato M, Shurin MR, Star A. Nanoelectronic discrimination of nonmalignant and malignant cells using nanotube field-effect transistors [Internet]. ACS Sensors. 2017 ; 2( 8): 1128-1132.[citado 2026 mar. 02 ] Available from: https://doi.org/10.1021/acssensors.7b00383

    • Vancouver

      Silva GO, Michael ZP, Bian L, Shurin GV, Mulato M, Shurin MR, Star A. Nanoelectronic discrimination of nonmalignant and malignant cells using nanotube field-effect transistors [Internet]. ACS Sensors. 2017 ; 2( 8): 1128-1132.[citado 2026 mar. 02 ] Available from: https://doi.org/10.1021/acssensors.7b00383
  • 1

1 - 2 (2 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2026