Journal of Medical Internet Research

Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

We systematically evaluated 27 clinical parameters using multiple machine learning algorithms to develop ENDRAS, a prediction model based on six readily available clinical variables. Model performance ...
The Register on MSN

This dev made a llama with three inference engines

Meet llama3pure, a set of dependency-free inference engines for C, Node.js, and JavaScript Developers looking to gain a ...
IEEE

A Deep Learning-Enabled Framework for Driver Drowsiness Assessment and Forecasting With HRV Matching Based on Dual Optical Fiber Sensor System

Abstract: Fatigue driving is a major cause of road traffic accidents and casualties. Automatically assessing driver drowsiness via vital signs monitoring offers an objective way to boost driving ...
Frontiers

Security of Drivers in Intelligent Transportation Systems: Privacy Preserving Federated Transfer Learning for Driver Drowsiness Detection

The final, formatted version of the article will be published soon. Driver drowsiness is a serious concern for road safety within intelligent transportation systems and it can reduce the safety and ...