Menu

Filtros : "2022" "Financiamento CAPES" "IFSC225" Limpar

Filtros

Refine with date range

  • 1

1 - 3 (3 records)

  • Artigo de periodico

    Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks (2022)

    Domingues, Guilherme Schimidt ; Tokuda, Eric Keiji ; Costa, Luciano da Fontoura

    Source: Journal of Physics: Complexity. Unidade: IFSC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, CIDADES

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

    • ABNT

      DOMINGUES, Guilherme Schimidt e TOKUDA, Eric Keiji e COSTA, Luciano da Fontoura. Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks. Journal of Physics: Complexity, v. 3, n. 4, p. 045003-1-045003-24, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac9446. Acesso em: 05 out. 2024.

    • APA

      Domingues, G. S., Tokuda, E. K., & Costa, L. da F. (2022). Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks. Journal of Physics: Complexity, 3( 4), 045003-1-045003-24. doi:10.1088/2632-072X/ac9446

    • NLM

      Domingues GS, Tokuda EK, Costa L da F. Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 4): 045003-1-045003-24.[citado 2024 out. 05 ] Available from: https://doi.org/10.1088/2632-072X/ac9446

    • Vancouver

      Domingues GS, Tokuda EK, Costa L da F. Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 4): 045003-1-045003-24.[citado 2024 out. 05 ] Available from: https://doi.org/10.1088/2632-072X/ac9446

  • Artigo de periodico

    Impact of the topology of urban streets on mobility optimization (2022)

    Tokuda, Eric Keiji ; Comin, Cesar H.; Costa, Luciano da Fontoura

    Source: Journal of Statistical Mechanics. Unidade: IFSC

    Assunto: VISÃO COMPUTACIONAL

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

    • ABNT

      TOKUDA, Eric Keiji e COMIN, Cesar H. e COSTA, Luciano da Fontoura. Impact of the topology of urban streets on mobility optimization. Journal of Statistical Mechanics, v. 2022, p. 103204-1-103204-21, 2022Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/ac9471. Acesso em: 05 out. 2024.

    • APA

      Tokuda, E. K., Comin, C. H., & Costa, L. da F. (2022). Impact of the topology of urban streets on mobility optimization. Journal of Statistical Mechanics, 2022, 103204-1-103204-21. doi:10.1088/1742-5468/ac9471

    • NLM

      Tokuda EK, Comin CH, Costa L da F. Impact of the topology of urban streets on mobility optimization [Internet]. Journal of Statistical Mechanics. 2022 ; 2022 103204-1-103204-21.[citado 2024 out. 05 ] Available from: https://doi.org/10.1088/1742-5468/ac9471

    • Vancouver

      Tokuda EK, Comin CH, Costa L da F. Impact of the topology of urban streets on mobility optimization [Internet]. Journal of Statistical Mechanics. 2022 ; 2022 103204-1-103204-21.[citado 2024 out. 05 ] Available from: https://doi.org/10.1088/1742-5468/ac9471

  • Trabalho de evento

    Complex texture features learned by applying randomized neural network on graphs (2022)

    Zielinski, Kallil M. C.; Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez

    Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC

    Subjects: REDES COMPLEXAS, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE IMAGEM, RECONHECIMENTO DE PADRÕES, TEXTURA (ANÁLISE), INTELIGÊNCIA ARTIFICIAL

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

    • ABNT

      ZIELINSKI, Kallil M. C. et al. Complex texture features learned by applying randomized neural network on graphs. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784123. Acesso em: 05 out. 2024.

    • APA

      Zielinski, K. M. C., Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). Complex texture features learned by applying randomized neural network on graphs. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784123

    • NLM

      Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123

    • Vancouver

      Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
  • 1

1 - 3 (3 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024