Source: Frontiers in Animal Science. Unidade: FMVZ
Subjects: ALGORITMOS, CAVALO DE MARCHA, REDES NEURAIS
ABNT
ALVES, Anderson Antonio Carvalho et al. Integrating audio signal processing and deep learning algorithms for gait pattern classification in Brazilian gaited horses. Frontiers in Animal Science, v. 2, p. 1-19, 2021Tradução . . Disponível em: https://doi.org/10.3389/fanim.2021.681557. Acesso em: 30 set. 2024.APA
Alves, A. A. C., Andrietta, L. T., Lopes, R. Z., Bussiman, F. de O., Silva, F. F. e, Carvalheiro, R., et al. (2021). Integrating audio signal processing and deep learning algorithms for gait pattern classification in Brazilian gaited horses. Frontiers in Animal Science, 2, 1-19. doi:10.3389/fanim.2021.681557NLM
Alves AAC, Andrietta LT, Lopes RZ, Bussiman F de O, Silva FF e, Carvalheiro R, Brito LF, Balieiro JC de C, Albuquerque LG de, Ventura RV. Integrating audio signal processing and deep learning algorithms for gait pattern classification in Brazilian gaited horses [Internet]. Frontiers in Animal Science. 2021 ; 2 1-19.[citado 2024 set. 30 ] Available from: https://doi.org/10.3389/fanim.2021.681557Vancouver
Alves AAC, Andrietta LT, Lopes RZ, Bussiman F de O, Silva FF e, Carvalheiro R, Brito LF, Balieiro JC de C, Albuquerque LG de, Ventura RV. Integrating audio signal processing and deep learning algorithms for gait pattern classification in Brazilian gaited horses [Internet]. Frontiers in Animal Science. 2021 ; 2 1-19.[citado 2024 set. 30 ] Available from: https://doi.org/10.3389/fanim.2021.681557