Article Versions Notes

Fortela DLB, Fremin AC, Sharp W, Mikolajczyk AP, Revellame E, Holmes W, Hernandez R, Zappi M. Unsupervised Machine Learning to Detect Impending Anomalies in Testing of Fuel Economy and Emissions of Light-Duty Vehicles. Clean Technologies. 2023; 5(1):418-435. https://doi.org/10.3390/cleantechnol5010021

Fortela, Dhan Lord B., Ashton C. Fremin, Wayne Sharp, Ashley P. Mikolajczyk, Emmanuel Revellame, William Holmes, Rafael Hernandez, and Mark Zappi. 2023. "Unsupervised Machine Learning to Detect Impending Anomalies in Testing of Fuel Economy and Emissions of Light-Duty Vehicles" Clean Technologies 5, no. 1: 418-435. https://doi.org/10.3390/cleantechnol5010021

Fortela, D. L. B., Fremin, A. C., Sharp, W., Mikolajczyk, A. P., Revellame, E., Holmes, W., Hernandez, R., & Zappi, M. (2023). Unsupervised Machine Learning to Detect Impending Anomalies in Testing of Fuel Economy and Emissions of Light-Duty Vehicles. Clean Technologies, 5(1), 418-435. https://doi.org/10.3390/cleantechnol5010021