Author

Williams Ayivi

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Open access Aug 2026

SLEA: a stochastic saccadic lightweight efficient attention framework with MobileNetV2 for robust and explainable 2D medical image classification

This work introduces saccadic lightweight efficient attention (SLEA), a framework purpose-built for 2D medical image classification and inspired by selective visual processing in the human visual system, intended to reduce dependence on fixed image locations and recurring spatial artefacts.

Williams Ayivi, Xiao-Ling Zhang, A. Aligayev · Physica Scripta · 0 citations

Open access 2026

Classification of Gesture Electromyography by Dynamic Mode Decomposition

Accurate classification of hand gestures from surface electromyography (sEMG) signals is essential for human-computer interaction and myoelectric prosthetic control, yet conventional feature-extraction methods struggle to capture the temporal dynamics of muscle activation. Dynamic Mode Decomposition (DMD), a data-drive...

Alberta Ashitey, Williams Ayivi, Joan Amos Toluwani et al. · IEEE Access · 0 citations