Reliable hand gesture recognition is important for intelligent human–machine interaction, assistive technologies, and rehabilitation systems, where accurate interpretation of muscle-activation patterns is required. This study proposes an integrated explainable machine–deep learning framework for recognizing eight hand...
Yousif M. Al-Muslim, A. Jaber, Z. Khan· Engineer· 0 citations
UAVs are being employed for inspection, mapping, emergency response, and low-altitude activities. However, propeller fractures, edge wear, tip loss, imbalance, motor-bearing deterioration, eccentric shafts, and operating circumstances might damage their propulsion systems. Acoustic health monitoring is promising for th...
It is demonstrated that Hjorth-based electrical-signal characterization and Multi-CNN ensemble fusion can provide accurate and computationally efficient support for fault identification and predictive maintenance decisions in electrical induction generators.
M. Ahmed, Ahmed Mohammed Mohsin Alzubaidi, Z. Khan et al.· Applied System Innovation· 0 citations
Results indicate that acoustic–vibration side-channel signals can provide effective process signatures for intelligent and quality-aware FDM monitoring.
T. Mahmood, O. Abdullah, A. Hadi et al.· Journal of Composites Scienc...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
