Filtros : "Computers, Environment and Urban Systems" Limpar

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  • Source: Computers, Environment and Urban Systems. Unidade: IME

    Subjects: MOBILIDADE URBANA, COMPUTAÇÃO APLICADA, SEMÂNTICA DE PROGRAMAÇÃO

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

      HOSSEINI, Maryam et al. Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery. Computers, Environment and Urban Systems, v. 101, n. artigo 101950, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.compenvurbsys.2023.101950. Acesso em: 02 out. 2024.
    • APA

      Hosseini, M., Sevtsuk, A., Miranda, F., César Júnior, R. M., & Silva, C. T. (2023). Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery. Computers, Environment and Urban Systems, 101( artigo 101950), 1-13. doi:10.1016/j.compenvurbsys.2023.101950
    • NLM

      Hosseini M, Sevtsuk A, Miranda F, César Júnior RM, Silva CT. Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery [Internet]. Computers, Environment and Urban Systems. 2023 ; 101( artigo 101950): 1-13.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2023.101950
    • Vancouver

      Hosseini M, Sevtsuk A, Miranda F, César Júnior RM, Silva CT. Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery [Internet]. Computers, Environment and Urban Systems. 2023 ; 101( artigo 101950): 1-13.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2023.101950
  • Source: Computers, Environment and Urban Systems. Unidade: EP

    Subjects: EMPREGO, TRANSPORTES, HABITAÇÃO, POLÍTICAS PÚBLICAS

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    • ABNT

      TOMASIELLO, Diego Bogado e GIANNOTTI, Mariana Abrantes e FEITOSA, Flávia da Fonseca. ACCESS: an agent-based model to explore job accessibility inequalities. Computers, Environment and Urban Systems, v. 81, p. 16 on-line, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compenvurbsys.2020.101462. Acesso em: 02 out. 2024.
    • APA

      Tomasiello, D. B., Giannotti, M. A., & Feitosa, F. da F. (2020). ACCESS: an agent-based model to explore job accessibility inequalities. Computers, Environment and Urban Systems, 81, 16 on-line. doi:10.1016/j.compenvurbsys.2020.101462
    • NLM

      Tomasiello DB, Giannotti MA, Feitosa F da F. ACCESS: an agent-based model to explore job accessibility inequalities [Internet]. Computers, Environment and Urban Systems. 2020 ; 81 16 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2020.101462
    • Vancouver

      Tomasiello DB, Giannotti MA, Feitosa F da F. ACCESS: an agent-based model to explore job accessibility inequalities [Internet]. Computers, Environment and Urban Systems. 2020 ; 81 16 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2020.101462
  • Source: Computers, Environment and Urban Systems. Unidade: ICMC

    Subjects: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, SEGURANÇA PÚBLICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      UEYAMA, Jó et al. Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil. Computers, Environment and Urban Systems, v. 65, p. 41-52, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compenvurbsys.2017.05.001. Acesso em: 02 out. 2024.
    • APA

      Ueyama, J., Faiçal, B. S., Mano, L. Y., Bayer, G., Pessin, G., & Gomes, P. H. (2017). Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil. Computers, Environment and Urban Systems, 65, 41-52. doi:10.1016/j.compenvurbsys.2017.05.001
    • NLM

      Ueyama J, Faiçal BS, Mano LY, Bayer G, Pessin G, Gomes PH. Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil [Internet]. Computers, Environment and Urban Systems. 2017 ; 65 41-52.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2017.05.001
    • Vancouver

      Ueyama J, Faiçal BS, Mano LY, Bayer G, Pessin G, Gomes PH. Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil [Internet]. Computers, Environment and Urban Systems. 2017 ; 65 41-52.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2017.05.001
  • Source: Computers, Environment and Urban Systems. Unidade: EP

    Subjects: POPULAÇÃO URBANA, CONSUMO DE ENERGIA ELÉTRICA, ASSENTAMENTOS HUMANOS

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    • ABNT

      AMARAL, Silvana et al. Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data. Computers, Environment and Urban Systems, v. 29, n. 2, p. 179-195, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.compenvurbsys.2003.09.004. Acesso em: 02 out. 2024.
    • APA

      Amaral, S., Camara, G., Monteiro, A. M. V., Quintanilha, J. A., & Elvidge, C. D. (2005). Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data. Computers, Environment and Urban Systems, 29( 2), 179-195. doi:10.1016/j.compenvurbsys.2003.09.004
    • NLM

      Amaral S, Camara G, Monteiro AMV, Quintanilha JA, Elvidge CD. Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data [Internet]. Computers, Environment and Urban Systems. 2005 ; 29( 2): 179-195.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2003.09.004
    • Vancouver

      Amaral S, Camara G, Monteiro AMV, Quintanilha JA, Elvidge CD. Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data [Internet]. Computers, Environment and Urban Systems. 2005 ; 29( 2): 179-195.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2003.09.004

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