IEEE

Accurate and Fast Quantitative Detection of Rail Corrugation Driven by Deep Learning Algorithms Using Adaptive Targeted Loss and Directed Metric Functions

Abstract: Rail corrugation is a common rail surface defect in wheel–rail system and can significantly reduce the running quality of vehicles. Accurate and fast detection of corrugation is of great ...
News-Medical.Net

Novel algorithm improves detection of moderate-to-severe aortic stenosis

A novel detection algorithm spotted moderate-to-severe aortic stenosis (AS) with a sensitivity of 90.5% of all patients and ...
Medical Device and Diagnostic Industry (MD+DI)

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
IEEE

Algorithmic approach to deadlock detection for resource allocation in heterogeneous platforms

Abstract: An allocation of resources to a virtual machine specifies the maximum amount of each individual element of each resource type that will be utilized, as well as the aggregate amount of each ...
eLife

A real-time, multi-animal model for automatic face detection and identification of freely moving common marmosets based on YOLOv8 algorithms

This valuable study presents a real-time system for identifying multiple unrestrained marmosets in a home cage setting using a combination of face detection and color-coded beads. However, there is ...
Frontiers

Artificial intelligence in early heart failure detection: from algorithms to bedside integration

Heart failure (HF) affects more than 64 million individuals worldwide (1) and remains a leading cause of morbidity, hospitalization, and premature mortality. Its prevalence continues to rise, driven ...