Cutting parameters and material classification using multinomial logistic regression (2022)
Source: IEEE Latin America Transactions. Unidade: EESC
Subjects: REGRESSÃO LOGÍSTICA, APRENDIZADO COMPUTACIONAL, INDÚSTRIA 4.0, ENGENHARIA MECÂNICA
ABNT
BONACINI, Leonardo et al. Cutting parameters and material classification using multinomial logistic regression. IEEE Latin America Transactions, v. 20, n. 12, p. 2471-2477, 2022Tradução . . Disponível em: https://doi.org/10.1109/TLA.2022.9905736. Acesso em: 19 out. 2024.APA
Bonacini, L., Pedraza, I. L. A., Senni, A. P., & Tronco, M. L. (2022). Cutting parameters and material classification using multinomial logistic regression. IEEE Latin America Transactions, 20( 12), 2471-2477. doi:10.1109/TLA.2022.9905736NLM
Bonacini L, Pedraza ILA, Senni AP, Tronco ML. Cutting parameters and material classification using multinomial logistic regression [Internet]. IEEE Latin America Transactions. 2022 ; 20( 12): 2471-2477.[citado 2024 out. 19 ] Available from: https://doi.org/10.1109/TLA.2022.9905736Vancouver
Bonacini L, Pedraza ILA, Senni AP, Tronco ML. Cutting parameters and material classification using multinomial logistic regression [Internet]. IEEE Latin America Transactions. 2022 ; 20( 12): 2471-2477.[citado 2024 out. 19 ] Available from: https://doi.org/10.1109/TLA.2022.9905736