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.

Researchers from UChicago PME used electrochemical intercalation to extract 99% pure lithium from a solution where the ratio ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Divine Earth Theory announces its upcoming launch, introducing science-informed hemp wellness products that combine advanced cultivation, ...

Feature extraction methods based on mode decomposition and dynamic metrics can characterize signal complexity in different frequency bands. However, existing methods usually ignore the complementarity ...

Tim Wu’s “The Age of Extraction” is a dispiriting guide to the way Silicon Valley has warped our markets and our democracy. By Jennifer Szalai When you purchase an independently reviewed book through ...

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

Abstract: Aiming to improve the effectiveness and the identity of features extracted from gas sensor responses, a novel automatic feature extraction method is proposed and studied. A simple ...