Filtros : "Finlândia" "EESC-SEP" "2023" Removidos: "FORMAÇÃO DE PROFESSORES" "Avila-Santos, Anderson" "CERRI, GIOVANNI GUIDO" Limpar

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  • Source: Circular Economy and Sustainability. Unidade: EESC

    Subjects: ECONOMIA CIRCULAR, CONSUMIDOR, MARKETING, ENGENHARIA DE PRODUÇÃO

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

      GOMES, Giovana Monteiro e MOREIRA, Natalia e OMETTO, Aldo Roberto. Consumer engagement in circular consumption systems: a roadmap structure for apparel retail companies. Circular Economy and Sustainability, p. 1-21, 2023Tradução . . Disponível em: http://dx.doi.org/10.1007/s43615-023-00332-8. Acesso em: 10 ago. 2024.
    • APA

      Gomes, G. M., Moreira, N., & Ometto, A. R. (2023). Consumer engagement in circular consumption systems: a roadmap structure for apparel retail companies. Circular Economy and Sustainability, 1-21. doi:10.1007/s43615-023-00332-8
    • NLM

      Gomes GM, Moreira N, Ometto AR. Consumer engagement in circular consumption systems: a roadmap structure for apparel retail companies [Internet]. Circular Economy and Sustainability. 2023 ; 1-21.[citado 2024 ago. 10 ] Available from: http://dx.doi.org/10.1007/s43615-023-00332-8
    • Vancouver

      Gomes GM, Moreira N, Ometto AR. Consumer engagement in circular consumption systems: a roadmap structure for apparel retail companies [Internet]. Circular Economy and Sustainability. 2023 ; 1-21.[citado 2024 ago. 10 ] Available from: http://dx.doi.org/10.1007/s43615-023-00332-8
  • Source: International Journal of Advanced Manufacturing Technology. Unidades: EESC, ICMC

    Subjects: MANUFATURA ADITIVA, PROCESSAMENTO DE IMAGENS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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

      RIBEIRO, Kandice Suane Barros et al. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition. International Journal of Advanced Manufacturing Technology, v. 127, n. 7-8, p. 3183-3194, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00170-023-11582-z. Acesso em: 10 ago. 2024.
    • APA

      Ribeiro, K. S. B., Nuñez, H. H. L., Venter, G. S., Doude, H. R., & Coelho, R. T. (2023). A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition. International Journal of Advanced Manufacturing Technology, 127( 7-8), 3183-3194. doi:10.1007/s00170-023-11582-z
    • NLM

      Ribeiro KSB, Nuñez HHL, Venter GS, Doude HR, Coelho RT. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 127( 7-8): 3183-3194.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1007/s00170-023-11582-z
    • Vancouver

      Ribeiro KSB, Nuñez HHL, Venter GS, Doude HR, Coelho RT. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 127( 7-8): 3183-3194.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1007/s00170-023-11582-z

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