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SECURE-AI: Multi-Signal Uncertainty Quantification for Trustworthy Acoustic Cough Detection
Acoustic models for cough detection achieve high accuracy on curated benchmarks but fail silently in deployment, where speech, environmental noise, and audio unlike the training data induce confident misclassifications. In health monitoring, a confidently wrong prediction is worse than no answer at
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