Source: Sensors. Unidade: ICMC
Subjects: COVID-19, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL
ABNT
AMARAL, Fabio Vinicius Góes et al. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil. Sensors, v. 21, n. 2, p. 1-25, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21020540. Acesso em: 28 jun. 2024.APA
Amaral, F. V. G., Casaca, W. C. de O., Oishi, C. M., & Cuminato, J. A. (2021). Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil. Sensors, 21( 2), 1-25. doi:10.3390/s21020540NLM
Amaral FVG, Casaca WC de O, Oishi CM, Cuminato JA. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil [Internet]. Sensors. 2021 ; 21( 2): 1-25.[citado 2024 jun. 28 ] Available from: https://doi.org/10.3390/s21020540Vancouver
Amaral FVG, Casaca WC de O, Oishi CM, Cuminato JA. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil [Internet]. Sensors. 2021 ; 21( 2): 1-25.[citado 2024 jun. 28 ] Available from: https://doi.org/10.3390/s21020540