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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 · 0 citations
Open access 2026

Classification of Gesture Electromyography by Dynamic Mode Decomposition

DMD is established as an effective, interpretable feature-extraction method for sEMG-based gesture classification, with applications in rehabilitation engineering, prosthetic control, and human-computer interaction.

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

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