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Artigo de periodico
A comparison study of myoelectric regression performances when estimating different types of joint kinematic data (2024)
Becman, Eric Cito ; Driemeier, Larissa ; Levin, Oron ; Swinnen, Stephan Patrick ; Forner Cordero, Arturo
Source: Expert systems with applications. Unidade: EP
Subjects: TECNOLOGIA ASSISTIVA, BIOMECÂNICA, APRENDIZADO COMPUTACIONAL, ELETROMIOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.1016/j.eswa.2024.124345
Artigo de periodico
FS-SCF network: neural network interpretability based on counterfactual generation and feature selection for fault diagnosis (2024)
Figueroa Barraza, Joaquín Eduardo ; López Droguett, Enrique Andrés ; Martins, Marcelo Ramos
Source: Expert systems with applications. Unidade: EP
Subjects: REDES NEURAIS, FALHAS COMPUTACIONAIS, GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.1016/j.eswa.2023.121670
Artigo de periodico
A separation and compaction algorithm for the two-open dimension nesting problem using penetration-fit raster and obstruction map (2023)
Sato, André Kubagawa ; Mundim, Leandro Resende ; Martins, Thiago de Castro ; Tsuzuki, Marcos Sales Guerra
Source: Expert systems with applications. Unidade: EP
Subjects: CORTE, MOVIMENTAÇÃO E ARMAZENAGEM DE MATERIAIS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.1016/j.eswa.2023.119716

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