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Filtros : "Procedia Computer Science" "Estados Unidos" Limpar

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  • Artigo de periodico

    Learning decision rules using adaptive technologies: a hybrid approach based on sequential covering (2017)

    Stange, Renata Luiza; José Neto, João

    Source: Procedia Computer Science. Unidade: EP

    Subjects: TECNOLOGIA ADAPTATIVAS, COBERTURA SEQUENCIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      STANGE, Renata Luiza e JOSÉ NETO, João. Learning decision rules using adaptive technologies: a hybrid approach based on sequential covering. Procedia Computer Science, v. 109, p. 1188-1193, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.procs.2017.05.396. Acesso em: 12 nov. 2025.

    • APA

      Stange, R. L., & José Neto, J. (2017). Learning decision rules using adaptive technologies: a hybrid approach based on sequential covering. Procedia Computer Science, 109, 1188-1193. doi:10.1016/j.procs.2017.05.396

    • NLM

      Stange RL, José Neto J. Learning decision rules using adaptive technologies: a hybrid approach based on sequential covering [Internet]. Procedia Computer Science. 2017 ; 109 1188-1193.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.procs.2017.05.396

    • Vancouver

      Stange RL, José Neto J. Learning decision rules using adaptive technologies: a hybrid approach based on sequential covering [Internet]. Procedia Computer Science. 2017 ; 109 1188-1193.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.procs.2017.05.396

  • Artigo de periodico

    Adaptive traffic signal control based on bio-neural network (2017)

    Castro, Guilherme Barbosa de; Hirakawa, André Riyuiti ; Martini, José Sidnei Colombo

    Source: Procedia Computer Science. Unidade: EP

    Subjects: SISTEMAS DINÂMICOS, REDES NEURAIS

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

    • ABNT

      CASTRO, Guilherme Barbosa de e HIRAKAWA, André Riyuiti e MARTINI, José Sidnei Colombo. Adaptive traffic signal control based on bio-neural network. Procedia Computer Science, v. 109, p. 1182-1187, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.procs.2017.05.394. Acesso em: 12 nov. 2025.

    • APA

      Castro, G. B. de, Hirakawa, A. R., & Martini, J. S. C. (2017). Adaptive traffic signal control based on bio-neural network. Procedia Computer Science, 109, 1182-1187. doi:10.1016/j.procs.2017.05.394

    • NLM

      Castro GB de, Hirakawa AR, Martini JSC. Adaptive traffic signal control based on bio-neural network [Internet]. Procedia Computer Science. 2017 ; 109 1182-1187.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.procs.2017.05.394

    • Vancouver

      Castro GB de, Hirakawa AR, Martini JSC. Adaptive traffic signal control based on bio-neural network [Internet]. Procedia Computer Science. 2017 ; 109 1182-1187.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.procs.2017.05.394
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