Source: Materials Letters. Unidade: EESC
Subjects: REDES NEURAIS, MATERIAIS COMPÓSITOS, FADIGA DOS MATERIAIS, APRENDIZAGEM PROFUNDA, ENGENHARIA MECÂNICA
ABNT
MONSON, Paulo Monteiro de Carvalho et al. Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks. Materials Letters, v. 369, p. 1-4, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.matlet.2024.136734. Acesso em: 31 out. 2024.APA
Monson, P. M. de C., Conceição Junior, P. de O., Dotto, F. R. L., Aguiar, P. R. de, Rodrigues, A. R., & David, G. A. (2024). Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks. Materials Letters, 369, 1-4. doi:10.1016/j.matlet.2024.136734NLM
Monson PM de C, Conceição Junior P de O, Dotto FRL, Aguiar PR de, Rodrigues AR, David GA. Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks [Internet]. Materials Letters. 2024 ; 369 1-4.[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1016/j.matlet.2024.136734Vancouver
Monson PM de C, Conceição Junior P de O, Dotto FRL, Aguiar PR de, Rodrigues AR, David GA. Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks [Internet]. Materials Letters. 2024 ; 369 1-4.[citado 2024 out. 31 ] Available from: http://dx.doi.org/10.1016/j.matlet.2024.136734