Filtros : "SIR" Limpar

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  • Source: International Journal of Environmental Research and Public Health. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, COVID-19, APRENDIZADO COMPUTACIONAL

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      SILVA, Thiago Christiano et al. Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, v. 20, n. 18, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/ijerph20186758. Acesso em: 25 jan. 2026.
    • APA

      Silva, T. C., Anghinoni, L., Chagas, C. P. das, Zhao, L., & Tabak, B. M. (2023). Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, 20( 18), 1-19. doi:10.3390/ijerph20186758
    • NLM

      Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2026 jan. 25 ] Available from: https://doi.org/10.3390/ijerph20186758
    • Vancouver

      Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2026 jan. 25 ] Available from: https://doi.org/10.3390/ijerph20186758
  • Source: IEEE Access. Unidade: ICMC

    Subjects: COVID-19, VACINAÇÃO, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      AMARAL, Fabio Vinícius Góes et al. Simulating immunization campaigns and vaccine protection against COVID-19 pandemic in Brazil. IEEE Access, v. 9, p. 126011-126022, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3112036. Acesso em: 25 jan. 2026.
    • APA

      Amaral, F. V. G., Casaca, W. C. de O., Oishi, C. M., & Cuminato, J. A. (2021). Simulating immunization campaigns and vaccine protection against COVID-19 pandemic in Brazil. IEEE Access, 9, 126011-126022. doi:10.1109/ACCESS.2021.3112036
    • NLM

      Amaral FVG, Casaca WC de O, Oishi CM, Cuminato JA. Simulating immunization campaigns and vaccine protection against COVID-19 pandemic in Brazil [Internet]. IEEE Access. 2021 ; 9 126011-126022.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/ACCESS.2021.3112036
    • Vancouver

      Amaral FVG, Casaca WC de O, Oishi CM, Cuminato JA. Simulating immunization campaigns and vaccine protection against COVID-19 pandemic in Brazil [Internet]. IEEE Access. 2021 ; 9 126011-126022.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/ACCESS.2021.3112036
  • Source: Journal of Magnetic Resonance. Unidade: IFSC

    Subjects: SPIN, RESSONÂNCIA MAGNÉTICA NUCLEAR

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    • ABNT

      MONTRAZI, Elton Tadeu e BONAGAMBA, Tito José. Direct NMR T1 distribution measurement without using ill-posed fitting methods. Journal of Magnetic Resonance, v. 309, p. 106624-1-106624-6, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jmr.2019.106624. Acesso em: 25 jan. 2026.
    • APA

      Montrazi, E. T., & Bonagamba, T. J. (2019). Direct NMR T1 distribution measurement without using ill-posed fitting methods. Journal of Magnetic Resonance, 309, 106624-1-106624-6. doi:10.1016/j.jmr.2019.106624
    • NLM

      Montrazi ET, Bonagamba TJ. Direct NMR T1 distribution measurement without using ill-posed fitting methods [Internet]. Journal of Magnetic Resonance. 2019 ; 309 106624-1-106624-6.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1016/j.jmr.2019.106624
    • Vancouver

      Montrazi ET, Bonagamba TJ. Direct NMR T1 distribution measurement without using ill-posed fitting methods [Internet]. Journal of Magnetic Resonance. 2019 ; 309 106624-1-106624-6.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1016/j.jmr.2019.106624

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