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.

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Authorities could be able to determine which apps are being used by analysing faint electromagnetic signals emitted as the ...

这项由香港科技大学研究团队完成的研究成果以预印本形式发布于2026年6月29日，论文编号为arXiv:2606.30811v1，研究领域属于计算机视觉方向。有兴趣深入了解的读者可以通过该编号在arXiv学术平台查询完整论文。