Filtros : "Expert Systems with Applications" "2023" Removido: "REVISÃO SISTEMÁTICA" Limpar

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  • Fonte: Expert Systems with Applications. Unidades: IME, EP

    Assuntos: PESQUISA OPERACIONAL, TEORIA DE SISTEMAS E CONTROLE, PROGRAMAÇÃO LINEAR

    Versão PublicadaAcesso à fonteDOIComo citar
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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e ROMÃO, Oberlan Christo e RONCONI, Débora Pretti. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers. Expert Systems with Applications, v. 223, p. 26 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.119866. Acesso em: 19 nov. 2025.
    • APA

      Birgin, E. J. G., Romão, O. C., & Ronconi, D. P. (2023). A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers. Expert Systems with Applications, 223, 26 on-line. doi:10.1016/j.eswa.2023.119866
    • NLM

      Birgin EJG, Romão OC, Ronconi DP. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. Expert Systems with Applications. 2023 ; 223 26 on-line.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
    • Vancouver

      Birgin EJG, Romão OC, Ronconi DP. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. Expert Systems with Applications. 2023 ; 223 26 on-line.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
  • Fonte: Expert Systems with Applications. Unidade: IFSC

    Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS

    Versão AceitaAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CASTRO, Lucas Daniel Chiba de et al. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, v. 212, p. 118792-1-118792-7, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.118792. Acesso em: 19 nov. 2025.
    • APA

      Castro, L. D. C. de, Scabini, L. F. dos S., Ribas, L. C., Bruno, O. M., & Oliveira Junior, O. N. de. (2023). Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, 212, 118792-1-118792-7. doi:10.1016/j.eswa.2022.118792
    • NLM

      Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
    • Vancouver

      Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792

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