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: With the rapid advancement of deep learning technologies, the use of computers for processing and analyzing multimodal remote sensing data has attracted significant attention. Joint land ...
Abstract: Globalization and rapid progress in technology is leading to the pollution of the environment severely affecting public health and leading to deaths. Air quality in most of the cities at ...
Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...
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