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Z. Khan

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Open access Oct 2026

An Integrated Explainable Machine and Deep Learning Framework for Hand Gesture Recognition in Human–Machine Interaction

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 · 0 citations
Open access Aug 2026

Intelligent Fault Diagnosis and Maintenance Decision Support in Electrical Induction Generators Using Multi-CNN Extreme Ensemble Learning

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. · 0 citations
Aug 2026

Artificial Neural Network-Based Diagnosis of Wind Turbine Blade Faults Using Vibration Analysis at Constant Operational Speed

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 · 2 citations

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