da Silva, L.A.; dos Santos, E.M.; Araújo, L.; Freire, N.S.; Vasconcelos, M.; Giusti, R.; Ferreira, D.; Jesus, A.S.; Pimentel, A.; Cruz, C.F.S.;
et al. Spatio-Temporal Deep Learning-Based Methods for Defect Detection: An Industrial Application Study Case. Appl. Sci. 2021, 11, 10861.
https://doi.org/10.3390/app112210861
AMA Style
da Silva LA, dos Santos EM, Araújo L, Freire NS, Vasconcelos M, Giusti R, Ferreira D, Jesus AS, Pimentel A, Cruz CFS,
et al. Spatio-Temporal Deep Learning-Based Methods for Defect Detection: An Industrial Application Study Case. Applied Sciences. 2021; 11(22):10861.
https://doi.org/10.3390/app112210861
Chicago/Turabian Style
da Silva, Lucas A., Eulanda M. dos Santos, Leo Araújo, Natalia S. Freire, Max Vasconcelos, Rafael Giusti, David Ferreira, Anderson S. Jesus, Agemilson Pimentel, Caio F. S. Cruz,
and et al. 2021. "Spatio-Temporal Deep Learning-Based Methods for Defect Detection: An Industrial Application Study Case" Applied Sciences 11, no. 22: 10861.
https://doi.org/10.3390/app112210861
APA Style
da Silva, L. A., dos Santos, E. M., Araújo, L., Freire, N. S., Vasconcelos, M., Giusti, R., Ferreira, D., Jesus, A. S., Pimentel, A., Cruz, C. F. S., Belem, R. J. S., Costa, A. S., & da Silva, O. A.
(2021). Spatio-Temporal Deep Learning-Based Methods for Defect Detection: An Industrial Application Study Case. Applied Sciences, 11(22), 10861.
https://doi.org/10.3390/app112210861
