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pro vyhledávání: '"Ashton C. Fremin"'
Autor:
Dhan Lord B. Fortela, Ashton C. Fremin, Wayne Sharp, Ashley P. Mikolajczyk, Emmanuel Revellame, William Holmes, Rafael Hernandez, Mark Zappi
Publikováno v:
Clean Technologies, Vol 5, Iss 1, Pp 418-435 (2023)
This work focused on demonstrating the capability of unsupervised machine learning techniques in detecting impending anomalies by extracting hidden trends in the datasets of fuel economy and emissions of light-duty vehicles (LDVs), which consist of c
Externí odkaz:
https://doaj.org/article/d728d4cf7393439b87775b58814fb6ad
Autor:
Fortela, Dhan Lord B., Fremin, Ashton C., Sharp, Wayne, Mikolajczyk, Ashley P., Revellame, Emmanuel, Holmes, William, Hernandez, Rafael, Zappi, Mark
Publikováno v:
Clean Technologies; Mar2023, Vol. 5 Issue 1, p418-435, 18p