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: Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for hyperspectral image (HSI) classification using a convolutional ...

Abstract: To solve the problems of polysemy and feature extraction in the text sentiment analysis process, a BERT-CNN-BiLSTM-Att hybrid model has been proposed for text sentiment analysis. The BERT ...

Musty wardrobes, damp walls, moldy corners and that lingering smell that seems to appear every monsoon often have the same cause. Here's how to choose a dehumidifier for it.

Fever guard Sophie Cunningham's viral finger-pointing meme reaches WWE 'Major' damage as Super Typhoon Bavi hits US island of Rota Something weird is going on with the 66 billion trees China planted ...

"D2-Net: A Trainable CNN for Joint Detection and Description of Local Features". M. Dusmanu, I. Rocco, T. Pajdla, M. Pollefeys, J. Sivic, A. Torii, and T. Sattler ...