A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Abstract: Deep learning models often emphasize structural information over long-range dependencies when producing cleaner images. To enhance the robustness of the resulting denoisers, this work ...
The numbers “8647” — a phrase generally used to signal opposition to President Donald Trump — appeared etched into the grass on the National Mall on Thursday, days before massive crowds are expected ...
Top CNN journalists vowed to uphold founder Ted Turner’s legacy at a Warner Bros. Discovery event honoring the maverick businessman on Wednesday. The Atlanta gathering of executives, employees and ...
Abstract: Accurate fatigue state assessment of helicopter rotors is essential for structural health monitoring, enabling early identification of degradation and improved operational safety. However, ...
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