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: Applying Support Vector Machine (SVM) theory to hyperspectral images classification can significantly mitigate the decline in classification performance caused by the curse of dimensionality ...

Abstract: Land use/land cover changes had accelerated near the turn of the 20th century owing to rapid and unregulated population growth, economic activity, and industrialization, especially in ...