Feature scaling beats architecture choice in offline respiratory screening for low-resource clinics
Read the original at arxiv.org→arXiv:2610.33030v1 Announce Type: new Abstract: Deep models are the usual choice for respiratory sound classification, but in clinics without GPUs or connectivity that choice carries a cost. We compare classical and...
Original headline: "Feature Scaling Beats Architecture Choice in Offline Respiratory Screening for Low-Resource Clinics"
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- Oct 27, 04:00 UTC arXiv cs.LG lead source Feature Scaling Beats Architecture Choice in Offline Respiratory Screening for Low-Resource Clinics