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.
The neurobiologist Erich Jarvis studies the few species capable of speech. He has long hoped to genetically engineer an ...
Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
With that conviction at its core, DATALAND has partnered with to create an aural environment unlike anything found in any ...
AI can identify individual wolves by their howls, giving conservationists a powerful new way to monitor packs without ...
aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
Abstract: Music creates powerful effects on human psychological conditions while it affects brain cognitive performance and brain functioning patterns. This research investigates the connection ...
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