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pro vyhledávání: '"Alexsander L. Lima"'
Autor:
Alexsander L. Lima, Stanley W. F. Rezende, Diogo S. Rabelo, Quintiliano S. S. Nomelini, José Waldemar Silva, Roberto M. Finzi Neto, Carlos A. Gallo, José dos Reis V. Moura Jr
Publikováno v:
International Journal of Advanced Engineering Research and Science. 9:426-432
In this work, three machine learning approaches were evaluated for detecting anomalies in impedance-based structural health monitoring (ISHM – Impedance-based Structural Health Monitoring) of a specimen in a controlled environment. Supervised, unsu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09e8ca091d8c5ff9df9b199124b2f631
https://doi.org/10.22161/ijaers.912.46
https://doi.org/10.22161/ijaers.912.46
