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AI model identifies where snoring starts in the airway

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.

Introspect Technology Introduces Second-Generation DDR/LPDDR Protocol Analyzer Offering the Highest Sampling Rate in the Industry

Introspect Technology, a JEDEC ® member and a leading manufacturer of test and measurement instruments, is proud to introduce ...
IEEE

Frequency Estimation for Energy Rate-Based Forced Oscillation Source Identification Using Its Properties on Modes Decomposed by Matrix Pencil Function

Abstract: Forced oscillation (FO) source identification prevents the impending threat to power system security. This article proposes a methodology to accurately estimate FO frequency for source ...
IEEE

RadioRS: A Sampling-Free Low-Altitude Wireless Networks Leveraging Radio Maps and Rate-Splitting

Abstract: The Low-Altitude Wireless Networks (LAWNs) has emerged as a cornerstone of next-generation mobile due to their flexibility and adaptability in providing on-demand connectivity. However, ...