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Filtros : "Universidade Federal de São Paulo. São Paulo, SP." "EESC" Limpar

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  • Artigo de periodico

    Automatic quality evaluation of digital mammographic images generated with Cdmam phantom correlated with the human vision (2023)

    Sousa, Maria A. Z.; Barufaldi, Bruno; Medeiros, Regina B.; Schiabel, Homero

    Source: Journal of Radiology and Radiation Therapy. Unidade: EESC

    Subjects: MAMOGRAFIA, VISÃO, ENGENHARIA ELÉTRICA

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

    • ABNT

      SOUSA, Maria A. Z. et al. Automatic quality evaluation of digital mammographic images generated with Cdmam phantom correlated with the human vision. Journal of Radiology and Radiation Therapy, v. 11, n. 2, p. 1-11, 2023Tradução . . Disponível em: http://dx.doi.org/10.47739/2333-7095/1100. Acesso em: 06 nov. 2024.

    • APA

      Sousa, M. A. Z., Barufaldi, B., Medeiros, R. B., & Schiabel, H. (2023). Automatic quality evaluation of digital mammographic images generated with Cdmam phantom correlated with the human vision. Journal of Radiology and Radiation Therapy, 11( 2), 1-11. doi:10.47739/2333-7095/1100

    • NLM

      Sousa MAZ, Barufaldi B, Medeiros RB, Schiabel H. Automatic quality evaluation of digital mammographic images generated with Cdmam phantom correlated with the human vision [Internet]. Journal of Radiology and Radiation Therapy. 2023 ; 11( 2): 1-11.[citado 2024 nov. 06 ] Available from: http://dx.doi.org/10.47739/2333-7095/1100

    • Vancouver

      Sousa MAZ, Barufaldi B, Medeiros RB, Schiabel H. Automatic quality evaluation of digital mammographic images generated with Cdmam phantom correlated with the human vision [Internet]. Journal of Radiology and Radiation Therapy. 2023 ; 11( 2): 1-11.[citado 2024 nov. 06 ] Available from: http://dx.doi.org/10.47739/2333-7095/1100

  • Artigo de periodico

    Flood modelling using synthesised citizen science urban streamflow observations (2019)

    Fava, Maria Clara ; Abe, Narumi ; Restrepo-Estrada, Camilo ; Kimura, Bruno Yuji Lino ; Mendiondo, Eduardo Mario

    Source: Journal of Flood Risk Management. Unidade: EESC

    Assunto: ENCHENTES URBANAS

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

    • ABNT

      FAVA, Maria Clara et al. Flood modelling using synthesised citizen science urban streamflow observations. Journal of Flood Risk Management, 2019Tradução . . Disponível em: https://doi.org/10.1111/jfr3.12498. Acesso em: 06 nov. 2024.

    • APA

      Fava, M. C., Abe, N., Restrepo-Estrada, C., Kimura, B. Y. L., & Mendiondo, E. M. (2019). Flood modelling using synthesised citizen science urban streamflow observations. Journal of Flood Risk Management. doi:10.1111/jfr3.12498

    • NLM

      Fava MC, Abe N, Restrepo-Estrada C, Kimura BYL, Mendiondo EM. Flood modelling using synthesised citizen science urban streamflow observations [Internet]. Journal of Flood Risk Management. 2019 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1111/jfr3.12498

    • Vancouver

      Fava MC, Abe N, Restrepo-Estrada C, Kimura BYL, Mendiondo EM. Flood modelling using synthesised citizen science urban streamflow observations [Internet]. Journal of Flood Risk Management. 2019 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1111/jfr3.12498

  • Artigo de periodico

    Prediction of short and medium term PM10 concentration using artificial neural networks (2018)

    Lui, Elaine Schornobay ; Alexandrina, Eduardo Carlos ; Aguiar, Mônica Lopes ; Hanisch, Werner Siegfried; Corrêa, Edinalda Moreira; Corrêa, Nivaldo Aparecido

    Source: Management of Environmental Quality: An International Journal. Unidade: EESC

    Subjects: POLUIÇÃO AMBIENTAL, QUALIDADE DO AR, ENGENHARIA HIDRÁULICA

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

    • ABNT

      LUI, Elaine Schornobay et al. Prediction of short and medium term PM10 concentration using artificial neural networks. Management of Environmental Quality: An International Journal, v. 30, n. 2, p. 414-436, 2018Tradução . . Disponível em: https://doi.org/10.1108/MEQ-03-2018-0055. Acesso em: 06 nov. 2024.

    • APA

      Lui, E. S., Alexandrina, E. C., Aguiar, M. L., Hanisch, W. S., Corrêa, E. M., & Corrêa, N. A. (2018). Prediction of short and medium term PM10 concentration using artificial neural networks. Management of Environmental Quality: An International Journal, 30( 2), 414-436. doi:10.1108/MEQ-03-2018-0055

    • NLM

      Lui ES, Alexandrina EC, Aguiar ML, Hanisch WS, Corrêa EM, Corrêa NA. Prediction of short and medium term PM10 concentration using artificial neural networks [Internet]. Management of Environmental Quality: An International Journal. 2018 ; 30( 2): 414-436.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1108/MEQ-03-2018-0055

    • Vancouver

      Lui ES, Alexandrina EC, Aguiar ML, Hanisch WS, Corrêa EM, Corrêa NA. Prediction of short and medium term PM10 concentration using artificial neural networks [Internet]. Management of Environmental Quality: An International Journal. 2018 ; 30( 2): 414-436.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1108/MEQ-03-2018-0055
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