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: The extremely low tumor prevalence in the general population makes accurate image-based tumor identification and classification a significant obstacle for medical researchers. Timely ...
Abstract: Motor bearing faults can lead to significant industrial losses and accidents, making their accurate diagnosis essential for safe motor operation. In recent years, transformer-based models ...
"I realized that life is short." ...
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