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 ...

Cornell Lab for Ornithology plans data linkup between app and population monitoring on eBird platform ...

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

At least 32 people are dead and hundreds more injured after massive, back-to-back earthquakes hit Venezuela. And those numbers are expected to climb into the thousands. The 7.2-and 7.5-magnitude ...

Abstract: Accurate fault detection and classification in power transmission systems are critical to maintaining grid reliability and minimizing outage durations. Traditional methods, often reliant on ...