Semi-supervised framework with autoencoder-based neural networks for fault prognosis (2022)
Rosa, Tiago Gaspar da; Melani, Arthur Henrique de Andrade 
; Pereira, Fabio Henrique ; Kashiwagi, Fabio Norikazu; Souza, Gilberto Francisco Martha de ; Salles, Gisele Maria de Oliveira
Assuntos: FALHA, APRENDIZAGEM PROFUNDA, REDES NEURAIS
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ABNT
ROSA, Tiago Gaspar da et al. Semi-supervised framework with autoencoder-based neural networks for fault prognosis. Sensors, v. 22, n. 24, p. 1-23, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22249738. Acesso em: 18 nov. 2025.APA
Rosa, T. G. da, Melani, A. H. de A., Pereira, F. H., Kashiwagi, F. N., Souza, G. F. M. de, & Salles, G. M. de O. (2022). Semi-supervised framework with autoencoder-based neural networks for fault prognosis. Sensors, 22( 24), 1-23. doi:10.3390/s22249738NLM
Rosa TG da, Melani AH de A, Pereira FH, Kashiwagi FN, Souza GFM de, Salles GM de O. Semi-supervised framework with autoencoder-based neural networks for fault prognosis [Internet]. Sensors. 2022 ; 22( 24): 1-23.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22249738Vancouver
Rosa TG da, Melani AH de A, Pereira FH, Kashiwagi FN, Souza GFM de, Salles GM de O. Semi-supervised framework with autoencoder-based neural networks for fault prognosis [Internet]. Sensors. 2022 ; 22( 24): 1-23.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22249738
