Source: IEEE Latin America Transactions. Unidade: EESC
Subjects: REDE DE COMUNICAÇÃO, AUTOMAÇÃO INDUSTRIAL, ENGENHARIA ELÉTRICA
ABNT
SESTITO, G. S. et al. Detection of anomalies related to the operation of the PROFINET network through feature extraction and classification. IEEE Latin America Transactions, v. 16, n. 7, p. 1855-1861, 2018Tradução . . Disponível em: https://doi.org/10.1109/TLA.2018.8447349. Acesso em: 15 maio 2024.APA
Sestito, G. S., Turcato, A. C., Dias, A. L., Flauzino, R. A., & Brandão, D. (2018). Detection of anomalies related to the operation of the PROFINET network through feature extraction and classification. IEEE Latin America Transactions, 16( 7), 1855-1861. doi:10.1109/TLA.2018.8447349NLM
Sestito GS, Turcato AC, Dias AL, Flauzino RA, Brandão D. Detection of anomalies related to the operation of the PROFINET network through feature extraction and classification [Internet]. IEEE Latin America Transactions. 2018 ; 16( 7): 1855-1861.[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/TLA.2018.8447349Vancouver
Sestito GS, Turcato AC, Dias AL, Flauzino RA, Brandão D. Detection of anomalies related to the operation of the PROFINET network through feature extraction and classification [Internet]. IEEE Latin America Transactions. 2018 ; 16( 7): 1855-1861.[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/TLA.2018.8447349