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.

The new Stylometry Module adds an authorship verification layer to similarity analysis, helping institutions assess ...

Abstract: The large-scale data collected by automated fare collection (AFC) systems provide opportunities for researching both individual travelling behavior and mobility pattern in urban city. In ...

Break down a logic challenge and learn a clear step-by-step method for solving pattern-based puzzles. This video explains how ...

Atalan for Nursing helps identify workforce risk up to 12 months before nurses leave, with the goal of enabling earlier ...

At SNEC 2026 in Shanghai, where solar manufacturers again competed to demonstrate higher efficiency, larger-scale production ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Abstract: Hyperspectral images (HSIs) provide hundreds of continuous spectral bands and have been widely used for fine identification of targets with similar appearances. In earlier studies, ...