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 ...
An artificial intelligence (AI)-based wearable patch capable of autonomously analyzing not only biosignals such as ...
Artificial intelligence applied to the ECG is expanding the clinical role of this widely available diagnostic tool beyond ...
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 ...
Making cold brew is so easy that you can whip up a batch in an old jam jar. Dedicated cold brew coffee makers simplify that ...
Australia possesses nearly 28 per cent of the world’s known uranium reserves, making it the single-largest holder of the mineral globally ...
Designing high-performance catalysts is essential for cleaner energy technologies, but the behavior of multi-element modern ...
"I realized that life is short." ...
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