Lalem, M. S. E. I., Ouadah, M., & Touhami, O. (2025). Real-Time Drone Propeller Fault Detection Using Onboard Vibration Sensors and Optimized Machine Learning. Journal of Vibration Engineering & Technologies, 13(8). https://doi.org/10.1007/s42417-025-02122-y
ISO-690 (author-date, English)LALEM, Mohamed Seif El Islam, OUADAH, M’hamed und TOUHAMI, Omar, 2025. Real-Time Drone Propeller Fault Detection Using Onboard Vibration Sensors and Optimized Machine Learning. Journal of Vibration Engineering & Technologies. 1 Dezember 2025. Vol. 13, no. 8, . DOI 10.1007/s42417-025-02122-y.
Modern Language Association 9th editionLalem, M. S. E. I., M. Ouadah, und O. Touhami. „Real-Time Drone Propeller Fault Detection Using Onboard Vibration Sensors and Optimized Machine Learning“. Journal of Vibration Engineering & Technologies, Bd. 13, Nr. 8, Dezember 2025, https://doi.org/10.1007/s42417-025-02122-y.
Mohr Siebeck - Recht (Deutsch - Österreich)Lalem, Mohamed Seif El Islam/Ouadah, M’hamed/Touhami, Omar: Real-Time Drone Propeller Fault Detection Using Onboard Vibration Sensors and Optimized Machine Learning, Journal of Vibration Engineering & Technologies 2025,
Emerald - HarvardLalem, M.S.E.I., Ouadah, M. und Touhami, O. (2025), „Real-Time Drone Propeller Fault Detection Using Onboard Vibration Sensors and Optimized Machine Learning“, Journal of Vibration Engineering & Technologies, Vol. 13 No. 8, verfügbar unter:https://doi.org/10.1007/s42417-025-02122-y.