Source: Expert Systems with Applications. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
ABNT
CASTRO, Lucas Daniel Chiba de et al. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, v. 212, p. 118792-1-118792-7, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.118792. Acesso em: 26 ago. 2024.APA
Castro, L. D. C. de, Scabini, L. F. dos S., Ribas, L. C., Bruno, O. M., & Oliveira Junior, O. N. de. (2023). Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, 212, 118792-1-118792-7. doi:10.1016/j.eswa.2022.118792NLM
Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792Vancouver
Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792