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Journal: Clean Technol., 2023
Volume: 5
Number: 21

Article: Unsupervised Machine Learning to Detect Impending Anomalies in Testing of Fuel Economy and Emissions of Light-Duty Vehicles
Authors: by Dhan Lord B. Fortela, Ashton C. Fremin, Wayne Sharp, Ashley P. Mikolajczyk, Emmanuel Revellame, William Holmes, Rafael Hernandez and Mark Zappi
Link: https://www.mdpi.com/2571-8797/5/1/21

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