Perpetuini, D, Formenti, D, Cardone, D, Trecroci, A, Rossi, A, Di Credico, A., Merati, G, Alberti, G, Di Baldassarre, A. & Merla, A. (2023). Can data-driven supervised machine learning approaches applied to infrared thermal imaging data estimate muscular activity and fatigue? Sensors, 23 (2), 832. Zugriff am 04.03.2023 unter https://doi.org/10.3390/s23020832
APA-Zitierstil (7. Ausg.)Perpetuini, D., Formenti, D., Cardone, D., Trecroci, A., Rossi, A., Di Credico, A., . . . Merla, A. (2023). Can data-driven supervised machine learning approaches applied to infrared thermal imaging data estimate muscular activity and fatigue? Sensors, 23(2), 832.
Chicago-Zitierstil (17. Ausg.)Perpetuini, D., et al. "Can Data-driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?" Sensors 23, no. 2 (2023): 832.
MLA-Zitierstil (9. Ausg.)Perpetuini, D., et al. "Can Data-driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?" Sensors, vol. 23, no. 2, 2023, p. 832.