Can deep models benefit from standard preprocessing of pulsed thermography data? (2022)
Wei, Z.; Osman, A.; Muller, D.; Fernandes, H.; Tarpani, José Ricardo 
; Maldague, X.
Assuntos: TERMOGRAFIA, APRENDIZADO COMPUTACIONAL, MATERIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WEI, Z. et al. Can deep models benefit from standard preprocessing of pulsed thermography data? 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/IRMMW-THz50927.2022.9896112. Acesso em: 07 nov. 2024.APA
Wei, Z., Osman, A., Muller, D., Fernandes, H., Tarpani, J. R., & Maldague, X. (2022). Can deep models benefit from standard preprocessing of pulsed thermography data? In . Piscataway, NJ, USA: IEEE. doi:10.1109/IRMMW-THz50927.2022.9896112NLM
Wei Z, Osman A, Muller D, Fernandes H, Tarpani JR, Maldague X. Can deep models benefit from standard preprocessing of pulsed thermography data? [Internet]. 2022 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/IRMMW-THz50927.2022.9896112Vancouver
Wei Z, Osman A, Muller D, Fernandes H, Tarpani JR, Maldague X. Can deep models benefit from standard preprocessing of pulsed thermography data? [Internet]. 2022 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/IRMMW-THz50927.2022.9896112
