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.

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

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

cisc-867 deep learning course project. speech emotion recognition (ser) on ravdess using a lightweight 1d cnn on log-mel-spectrograms, compared against a classical mfcc + svm baseline. optimized for ...

There are plenty of radios you can buy that pick up MW and SW bands if that’s what you’re into. Or, you can follow [mircemk]’s example, and whip one up yourself instead. The build employs an ESP32 as ...

Humans are odd creatures, and no two are exactly alike, which is likely why so many different methods exist for tracking the progress of tasks that must be accomplished. [Simone Giertz] has graced us ...

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