Medindia

AI Uses Snoring Sounds to Identify Airway Obstruction

AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...
News-Medical.Net

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.
IEEE

SVM Active Learning Approach for Image Classification Using Spatial Information

Abstract: In the last few years, active learning has been gaining growing interest in the remote sensing community in optimizing the process of training sample collection for supervised image ...
IEEE

EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images

Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
GitHub

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

This project was inspired by Y. Tang's Deep Learning using Linear Support Vector Machines (2013). The full paper on this project may be read at arXiv.org. The experiments were conducted on a laptop ...
Scientific Research Publishing

Feature Analysis and Classification of Particle Data from Two-Dimensional Video Disdrometer ()

1 Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan. 2 Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan. 3 Department of Computer ...