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.
BEIJING— A research team from Peking Union Medical College Hospital and Tsinghua University has developed a compact optical AI chip that can identify meibomian gland dysfunction (MGD)—a major cause of ...
The audacious US operation to remove Venezuelan President Nicolás Maduro came down to an intense final firefight in which US helicopters were exposed to an extraordinary level of risk as they ...
The best manual espresso makers are built differently. Although there are a few manual espresso makers to choose from if you want a slower, more mindful coffee habit, the best of them truly stand out ...
Abstract: This research introduces a novel approach called Circular Mesh Network (CirMNet), a shape-based hybrid feature extraction technique. It also proposes innovative Fractal Dimension (FD) and ...
Epileptic seizures are characterized by their sudden and unpredictable nature, posing significant risks to a patient’s daily life. Accurate and reliable seizure prediction systems can provide alerts ...
At present, electroencephalogram (EEG) signals play an irreplaceable role in the diagnosis and treatment of human diseases and medical research. EEG signals need to be processed in order to reduce the ...
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