Filtros : "Expert systems with applications" Limpar

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  • Source: Expert systems with applications. Unidade: EP

    Subjects: FABRICAÇÃO (MICROELETRÔNICA), USINAGEM, FOTOLITOGRAFIA, PROJETOS DE PRODUTOS, OTIMIZAÇÃO MATEMÁTICA

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    • ABNT

      NAJAFABADI, Hossein Rostami et al. Integrating micromachining constraints for enhanced product accuracy through topology optimization: precision refined. Expert systems with applications, v. No 2024, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.124247. Acesso em: 09 nov. 2025.
    • APA

      Najafabadi, H. R., Verona, B. M., Goto, T. G., Martins, T. de C., Tsuzuki, M. S. G., & Barari, A. (2024). Integrating micromachining constraints for enhanced product accuracy through topology optimization: precision refined. Expert systems with applications, No 2024, 1-12. doi:10.1016/j.eswa.2024.124247
    • NLM

      Najafabadi HR, Verona BM, Goto TG, Martins T de C, Tsuzuki MSG, Barari A. Integrating micromachining constraints for enhanced product accuracy through topology optimization: precision refined [Internet]. Expert systems with applications. 2024 ; No 2024 1-12.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2024.124247
    • Vancouver

      Najafabadi HR, Verona BM, Goto TG, Martins T de C, Tsuzuki MSG, Barari A. Integrating micromachining constraints for enhanced product accuracy through topology optimization: precision refined [Internet]. Expert systems with applications. 2024 ; No 2024 1-12.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2024.124247
  • Source: Expert systems with applications. Unidade: EP

    Subjects: TECNOLOGIA ASSISTIVA, BIOMECÂNICA, APRENDIZADO COMPUTACIONAL, ELETROMIOGRAFIA

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    • ABNT

      BECMAN, Eric Cito et al. A comparison study of myoelectric regression performances when estimating different types of joint kinematic data. Expert systems with applications, v. No 2024, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.124345. Acesso em: 09 nov. 2025.
    • APA

      Becman, E. C., Driemeier, L., Levin, O., Swinnen, S. P., & Forner Cordero, A. (2024). A comparison study of myoelectric regression performances when estimating different types of joint kinematic data. Expert systems with applications, No 2024, 1-20. doi:10.1016/j.eswa.2024.124345
    • NLM

      Becman EC, Driemeier L, Levin O, Swinnen SP, Forner Cordero A. A comparison study of myoelectric regression performances when estimating different types of joint kinematic data [Internet]. Expert systems with applications. 2024 ; No 2024 1-20.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2024.124345
    • Vancouver

      Becman EC, Driemeier L, Levin O, Swinnen SP, Forner Cordero A. A comparison study of myoelectric regression performances when estimating different types of joint kinematic data [Internet]. Expert systems with applications. 2024 ; No 2024 1-20.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2024.124345
  • Source: Expert systems with applications. Unidade: EP

    Subjects: REDES NEURAIS, FALHAS COMPUTACIONAIS, GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS

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    • ABNT

      FIGUEROA BARRAZA, Joaquín Eduardo e LÓPEZ DROGUETT, Enrique Andrés e MARTINS, Marcelo Ramos. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis. Expert systems with applications, v. 237, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.121670. Acesso em: 09 nov. 2025.
    • APA

      Figueroa Barraza, J. E., López Droguett, E. A., & Martins, M. R. (2024). FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis. Expert systems with applications, 237, 1-16. doi:10.1016/j.eswa.2023.121670
    • NLM

      Figueroa Barraza JE, López Droguett EA, Martins MR. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis [Internet]. Expert systems with applications. 2024 ; 237 1-16.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2023.121670
    • Vancouver

      Figueroa Barraza JE, López Droguett EA, Martins MR. FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis [Internet]. Expert systems with applications. 2024 ; 237 1-16.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2023.121670
  • Source: Expert systems with applications. Unidade: EP

    Subjects: CORTE, MOVIMENTAÇÃO E ARMAZENAGEM DE MATERIAIS, ALGORITMOS

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    • ABNT

      SATO, André Kubagawa et al. A separation and compaction algorithm for the two-open dimension nesting problem using penetration-fit raster and obstruction map. Expert systems with applications, v. 220, n. Ju 2023, p. 1-16, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.119716. Acesso em: 09 nov. 2025.
    • APA

      Sato, A. K., Mundim, L. R., Martins, T. de C., & Tsuzuki, M. S. G. (2023). A separation and compaction algorithm for the two-open dimension nesting problem using penetration-fit raster and obstruction map. Expert systems with applications, 220( Ju 2023), 1-16. doi:10.1016/j.eswa.2023.119716
    • NLM

      Sato AK, Mundim LR, Martins T de C, Tsuzuki MSG. A separation and compaction algorithm for the two-open dimension nesting problem using penetration-fit raster and obstruction map [Internet]. Expert systems with applications. 2023 ; 220( Ju 2023): 1-16.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2023.119716
    • Vancouver

      Sato AK, Mundim LR, Martins T de C, Tsuzuki MSG. A separation and compaction algorithm for the two-open dimension nesting problem using penetration-fit raster and obstruction map [Internet]. Expert systems with applications. 2023 ; 220( Ju 2023): 1-16.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2023.119716
  • Source: Expert systems with applications. Unidade: EP

    Subjects: MANUTENÇÃO PREDITIVA, FALHA, ANÁLISE MULTIVARIADA

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    • ABNT

      MICHALSKI, Miguel Angelo De Carvalho e SOUZA, Gilberto Francisco Martha de. Comparing PCA-based fault detection methods for dynamic processes with correlated and non-Gaussian variables. Expert systems with applications, v. No 2022, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117989. Acesso em: 09 nov. 2025.
    • APA

      Michalski, M. A. D. C., & Souza, G. F. M. de. (2022). Comparing PCA-based fault detection methods for dynamic processes with correlated and non-Gaussian variables. Expert systems with applications, No 2022, 1-19. doi:10.1016/j.eswa.2022.117989
    • NLM

      Michalski MADC, Souza GFM de. Comparing PCA-based fault detection methods for dynamic processes with correlated and non-Gaussian variables [Internet]. Expert systems with applications. 2022 ; No 2022 1-19.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2022.117989
    • Vancouver

      Michalski MADC, Souza GFM de. Comparing PCA-based fault detection methods for dynamic processes with correlated and non-Gaussian variables [Internet]. Expert systems with applications. 2022 ; No 2022 1-19.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2022.117989

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