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.

Practical Clean Architecture backend example built with FastAPI. No stateful globals (DI), low coupling (DIP), tactical DDD, CQRS, proper UoW usage. REST API, per ...

Abstract: Applying Support Vector Machine (SVM) theory to hyperspectral images classification can significantly mitigate the decline in classification performance caused by the curse of dimensionality ...

Pretrained MambaVision models can be simply used via Hugging Face library with a few lines of code. First install the requirements: The predicted label is brown bear, bruin, Ursus arctos. You can also ...

jPacific Parkinson's Research Centre, Parkinson's Foundation Centre of Excellence, University of British Columbia, BC, Canada kUniversity Health Network's Krembil Brain Institute, Edmond J Safra ...

Abstract: Plant electrical signals are physiological signals within the plant body that respond to both external and internal stimuli. Using plant electrical signals as an effective indicator for ...