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pro vyhledávání: '"Ruan J. S. Belem"'
Autor:
Lucas A. da Silva, Eulanda M. dos Santos, Leo Araújo, Natalia S. Freire, Max Vasconcelos, Rafael Giusti, David Ferreira, Anderson S. Jesus, Agemilson Pimentel, Caio F. S. Cruz, Ruan J. S. Belem, André S. Costa, Osmar A. da Silva
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10861 (2021)
Data-driven methods—particularly machine learning techniques—are expected to play a key role in the headway of Industry 4.0. One increasingly popular application in this context is when anomaly detection is employed to test manufactured goods in
Externí odkaz:
https://doaj.org/article/767bfa1dee5a46788481ad3eea69f2e1
