C&EN

Machine learning helps density functional theory model molecules accurately

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
EurekAlert!

Nighttime driving study reveals red light reduces motion sickness in automated vehicles

Motion sickness is a major barrier to passenger comfort, particularly during nighttime journeys when visual cues are limited.
IEEE

Detection of Bundle Branch Block From 12-Lead ECG Using Fifth-Order Tensor-Domain Machine Learning

Abstract: Bundle branch block (BBB) is a cardiac disease that occurs due to the delay in the heart’s electrical activity during a heartbeat. The early detection of BBB using 12-lead electrocardiogram ...
IEEE

A Lightweight ML-Based ECG Classification System using Self-Personalized Anomaly Detector

Abstract: Targeting the real-time arrhythmia diagnosis on resource-limited edge devices, in this paper, we present a lightweight electrocardiogram classification system using event-driven machine ...
BioSpace

First Patients Enrolled in IMPRoVED-AF Study Using vMap, a Non-Invasive ECG-Based Tool Designed to Guide More Effective AF Ablation

Prospective, Multi-Center Study Aims to Build Evidence Demonstrating How Arrhythmia Analysis Tool Enhances Treatment for Persistent and Recurrent AF SAN DIEGO--(BUSINESS WIRE)--#Medtech--Vektor ...
GitHub

Consumer Complaints Text Classification Using Machine Learning

This project aims to build a multi-class text classification model for consumer complaint narratives.It categorizes complaints into four classes: Credit Reporting, Debt Collection, Consumer Loan, and ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Frontiers

Causal ECGNet: leveraging causal inference for robust ECG classification in cardiac disorders

Electrocardiogram (ECG) is a graphical representation of the electrical activity of the heart and plays a crucial role in diagnosing heart disease and assessing cardiac function. In the context of ...
Visual Studio Magazine

Predicting the Future Using Azure Machine Learning

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...