Martinelli, A.; Meocci, M.; Dolfi, M.; Branzi, V.; Morosi, S.; Argenti, F.; Berzi, L.; Consumi, T.
Road Surface Anomaly Assessment Using Low-Cost Accelerometers: A Machine Learning Approach. Sensors 2022, 22, 3788.
https://doi.org/10.3390/s22103788
AMA Style
Martinelli A, Meocci M, Dolfi M, Branzi V, Morosi S, Argenti F, Berzi L, Consumi T.
Road Surface Anomaly Assessment Using Low-Cost Accelerometers: A Machine Learning Approach. Sensors. 2022; 22(10):3788.
https://doi.org/10.3390/s22103788
Chicago/Turabian Style
Martinelli, Alessio, Monica Meocci, Marco Dolfi, Valentina Branzi, Simone Morosi, Fabrizio Argenti, Lorenzo Berzi, and Tommaso Consumi.
2022. "Road Surface Anomaly Assessment Using Low-Cost Accelerometers: A Machine Learning Approach" Sensors 22, no. 10: 3788.
https://doi.org/10.3390/s22103788
APA Style
Martinelli, A., Meocci, M., Dolfi, M., Branzi, V., Morosi, S., Argenti, F., Berzi, L., & Consumi, T.
(2022). Road Surface Anomaly Assessment Using Low-Cost Accelerometers: A Machine Learning Approach. Sensors, 22(10), 3788.
https://doi.org/10.3390/s22103788