Cardiac arrhythmia disorders detection with deep learning models
In this paper, the research of computer algorithms for automatic detection of heart rhythm
disorders based on the analysis of electrocardiograms have been conducted. A new model …
disorders based on the analysis of electrocardiograms have been conducted. A new model …
Integrating Voice-Based Machine Learning Technology into Complex Home Environments
To demonstrate the value of machine learning based smart health technologies, researchers
have to deploy their solutions into complex real-world environments with real participants …
have to deploy their solutions into complex real-world environments with real participants …
Detection of COVID-19 coronavirus infection in chest X-ray images with deep learning methods
EY Shchetinin - Computer Optics, 2022 - mathnet.ru
Early detection of patients with COVID-19 coronavirus infection is essential in ensuring an
adequate treatment and reducing the burden on the health care system. An effective method …
adequate treatment and reducing the burden on the health care system. An effective method …
Emotion recognition robust to indoor environmental distortions and non-targeted emotions using out-of-distribution detection
The rapid development of machine learning on acoustic signal processing has resulted in
many solutions for detecting emotions from speech. Early works were developed for clean …
many solutions for detecting emotions from speech. Early works were developed for clean …
[HTML][HTML] Обнаружение коронавирусной инфекции COVID-19 на основе анализа рентгеновских снимков грудной клетки методами глубокого обучения
ЕЮ Щетинин - Компьютерная оптика, 2022 - cyberleninka.ru
Раннее выявление пациентов с коронавирусной инфекцией COVID-19 имеет важное
значение для обеспечения их адекватного лечения и снижения нагрузки на систему …
значение для обеспечения их адекватного лечения и снижения нагрузки на систему …
SOFT MEASUREMENTS AND COMPUTING
EYU SHCHETININ - SOFT MEASUREMENTS AND COMPUTING …, 2022 - elibrary.ru
In this paper computer studies of the effectiveness of using transfer learning methods to
solve the problem of recognizing human brain tumor based on MRI images were performed …
solve the problem of recognizing human brain tumor based on MRI images were performed …