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  • Artigo de periodico

    Fast flapping aerodynamics prediction using a recurrent neural network (2023)

    Pereira, João A. F.; Camacho, Emanuel A. R.; Marques, Flavio Donizeti ; Silva, Andre R. R

    Source: Engineering Proceedings. Unidade: EESC

    Subjects: PETRÓLEO, GASES, APRENDIZADO COMPUTACIONAL, AERODINÂMICA, REDES NEURAIS, ENGENHARIA MECÂNICA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      PEREIRA, João A. F. et al. Fast flapping aerodynamics prediction using a recurrent neural network. Engineering Proceedings, v. 56, n. 1, p. 1-7, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/ASEC2023-16272. Acesso em: 23 nov. 2025.

    • APA

      Pereira, J. A. F., Camacho, E. A. R., Marques, F. D., & Silva, A. R. R. (2023). Fast flapping aerodynamics prediction using a recurrent neural network. Engineering Proceedings, 56( 1), 1-7. doi:10.3390/ASEC2023-16272

    • NLM

      Pereira JAF, Camacho EAR, Marques FD, Silva ARR. Fast flapping aerodynamics prediction using a recurrent neural network [Internet]. Engineering Proceedings. 2023 ; 56( 1): 1-7.[citado 2025 nov. 23 ] Available from: https://dx.doi.org/10.3390/ASEC2023-16272

    • Vancouver

      Pereira JAF, Camacho EAR, Marques FD, Silva ARR. Fast flapping aerodynamics prediction using a recurrent neural network [Internet]. Engineering Proceedings. 2023 ; 56( 1): 1-7.[citado 2025 nov. 23 ] Available from: https://dx.doi.org/10.3390/ASEC2023-16272

  • Artigo de periodico

    Predicting the NACA0012-IK30 airfoil propulsive capabilities with a panel method (2023)

    Camacho, Emanuel A. R; Marques, Flavio Donizeti ; Silva, Andre R. R

    Source: Engineering Proceedings. Unidade: EESC

    Subjects: AEROFÓLIOS, PROPULSÃO DE AERONAVES, ENGENHARIA MECÂNICA

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

    • ABNT

      CAMACHO, Emanuel A. R e MARQUES, Flavio Donizeti e SILVA, Andre R. R. Predicting the NACA0012-IK30 airfoil propulsive capabilities with a panel method. Engineering Proceedings, v. 56, n. 1, p. 1-8, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/ASEC2023-15886. Acesso em: 23 nov. 2025.

    • APA

      Camacho, E. A. R., Marques, F. D., & Silva, A. R. R. (2023). Predicting the NACA0012-IK30 airfoil propulsive capabilities with a panel method. Engineering Proceedings, 56( 1), 1-8. doi:10.3390/ASEC2023-15886

    • NLM

      Camacho EAR, Marques FD, Silva ARR. Predicting the NACA0012-IK30 airfoil propulsive capabilities with a panel method [Internet]. Engineering Proceedings. 2023 ; 56( 1): 1-8.[citado 2025 nov. 23 ] Available from: https://dx.doi.org/10.3390/ASEC2023-15886

    • Vancouver

      Camacho EAR, Marques FD, Silva ARR. Predicting the NACA0012-IK30 airfoil propulsive capabilities with a panel method [Internet]. Engineering Proceedings. 2023 ; 56( 1): 1-8.[citado 2025 nov. 23 ] Available from: https://dx.doi.org/10.3390/ASEC2023-15886

  • Artigo de periodico

    Damage detection in machining tools using acoustic emission, signal processing, and feature extraction (2023)

    Bernardes, Lucas Pires; Conceição Junior, Pedro de Oliveira ; Dotto, Fabio Romano Lofrano ; Rodrigues, Alessandro Roger ; Silva, Marcio Marques

    Source: Engineering Proceedings. Unidade: EESC

    Subjects: AUTOMAÇÃO INDUSTRIAL, ACÚSTICA, PROCESSAMENTO DE SINAIS, ENGENHARIA MECÂNICA

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

    • ABNT

      BERNARDES, Lucas Pires et al. Damage detection in machining tools using acoustic emission, signal processing, and feature extraction. Engineering Proceedings, v. 58, n. 1, p. 1-6, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/ecsa-10-16258. Acesso em: 23 nov. 2025.

    • APA

      Bernardes, L. P., Conceição Junior, P. de O., Dotto, F. R. L., Rodrigues, A. R., & Silva, M. M. (2023). Damage detection in machining tools using acoustic emission, signal processing, and feature extraction. Engineering Proceedings, 58( 1), 1-6. doi:10.3390/ecsa-10-16258

    • NLM

      Bernardes LP, Conceição Junior P de O, Dotto FRL, Rodrigues AR, Silva MM. Damage detection in machining tools using acoustic emission, signal processing, and feature extraction [Internet]. Engineering Proceedings. 2023 ; 58( 1): 1-6.[citado 2025 nov. 23 ] Available from: https://dx.doi.org/10.3390/ecsa-10-16258

    • Vancouver

      Bernardes LP, Conceição Junior P de O, Dotto FRL, Rodrigues AR, Silva MM. Damage detection in machining tools using acoustic emission, signal processing, and feature extraction [Internet]. Engineering Proceedings. 2023 ; 58( 1): 1-6.[citado 2025 nov. 23 ] Available from: https://dx.doi.org/10.3390/ecsa-10-16258
  • 1

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