BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Automatic label checking: The missing step in making medical AI reliable

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
IEEE

A Novel Machine Learning Framework for Drowsiness Detection Using an Electrostatic Wearable Sensor and Hyperdimensional Computing

Abstract: This work proposes a wearable system for the specific application of drowsiness detection in activities of daily living. The system is based on a new family of electrostatic sensors (Qvar) ...
Tech Xplore

Machine learning helps robots see clearly in total darkness using infrared

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
IEEE

DDoS Attack Detection in IoT: A Comparative Resource and Performance Analysis of Deep Learning and Machine Learning Models

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...

'Listening in' on the brain's hidden language: Engineered protein detects the faintest incoming signals

Scientists have engineered a protein able to record the incoming chemical signals of brain cells (as opposed to just their ...