Author

Jason Yik

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Open access Sep 2026

Minimal-preprocessing paradigm for robust COVID-19 detection from cough audio using deep learning

The COVID-19 pandemic has highlighted the need for rapid, accessible, and non-invasive screening tools to complement conventional diagnostic methods. While audio-based analysis of cough signals has emerged as a promising approach, most existing studies rely on complex preprocessing pipelines aimed at noise suppressio...

Chee C. Lim, Leow Bin Toh, Megat Syahirul et al. · Scientific Reports · 0 citations

#machine learning Preprint Aug 2026

Event-Driven Language Models with Sparse Neural Activity for Neuromorphic Hardware

This work introduces a method that induces sparse neural activity in heavily quantized linear-attention models with minimal performance loss, and positions sparse, quantized linear-attention models as a natural fit for deploying LLMs on event-driven multi-core platforms.

Simon Richter, Ruhai Lin, Jason Yik et al. · 0 citations