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
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
Wind turbine blade faults, such as surface erosion, cracks, mass imbalance, and twist deformation, significantly compromise operational efficiency and reliability, thereby increasing maintenance costs. This research presents an artificial neural network (ANN)-based diagnostic approach for identifying five distinct faul...
Z. Khan, Shabbir Ahmad, A. Askar· Terra Joule Journal· 2 citations
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