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: Speaker identification in challenging acoustic environments, influenced by noise, reverberation, and emotional fluctuations, requires improved feature extraction techniques. Although ...

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.

An artificial intelligence (AI)-based wearable patch capable of autonomously analyzing not only biosignals such as ...

Built for More: Uniform Coverage, Higher Yields, and Confident Variant Characterization.