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13 hours ago
Patient-Specific CNN-RNN for Lung-Sound Detection With 4× Smaller Memory
Log-quant cuts model memory 4× with minimal accuracy loss; compute fits mobile SoCs, enabling real-time, wearable lung-sound scree...
13 hours ago
Dataset, Features, Model, and Quantization Strategy for Respiratory Sound Classi...
Mel-spectrograms feed a CNN-RNN; last layers retrain on tiny patient sets, then log-quant weights trim memory 4× for wearables.
13 hours ago
Patient-Specific CNN-RNN for Wheeze and Crackle Detection with 4× Memory Savings
Hybrid spectrogram CNN-RNN outperforms VGG/MobileNet and shows that transfer learning solves data scarcity in respiratory AI.
