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.

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

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

Fork-tailed drongos in South Africa’s Kalahari Desert can produce up to 51 distinct mimicked alarm calls and deploy them ...

Directed by Rebecca Lingafelter, this production by Portland Experimental Theatre Ensemble (PETE) tackles the slippery ...

Andy Lee of Brandsmiths explains how firm secured a win for Peppa Pig over rival children’s character Wolfoo, in a case that centred on copied audio clips The England and Wales High Court handed a ...

Avid CNC Benchtop Pro - Aluminum chatter analysis Confession time: I upgraded from the Taig to an Avid CNC Benchtop Pro 2x3 ...

Abstract: Traditional infrastructure inspection methods require specialized expertise and involve complex maintenance techniques. Currently, inspectors depend on auditory cues, particularly the sound ...

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When light reflects off a surface, not all of it reflects off at the same wavelength; some photons impart a portion of their ...

Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...

Superconductivity, a phenomenon in which electricity flows without resistance, is considered the core of quantum computers ...