Please confirm you are human

This browser or connection looks automated. Press and continuously hold the control for 3 seconds to enable Google-hosted web results and, when separately allowed, AI-assisted answers.

A successful check enables 100 search requests. Interactive access does not authorize scraping, systematic collection, or reuse of search output.

Hold with a pointer, or hold Space or Enter.

News

European Medical Journal
emjreviews.com > cardiology > news > ecg-fatigue-detection-model-improves-elderly-monitoring

ECG Fatigue Detection Model Improves Elderly Monitoring

3+ week, 4+ day ago   (258+ words) ECG fatigue detection using machine learning accurately identified fatigue status in older adults, with a 97.96% test accuracy in a dataset of 100 participants. Researchers developed a portable ECG-based fatigue monitoring system designed for older adults. The aim was to provide a…...

Springer Nature Link
link.springer.com > article > 10.1007 > s00170-026-18916-7

Visual detection of flap tears on abrasive flap wheels using deep learning

4+ week, 18+ hour ago   (15+ words) Springer Nature Link...

mdpi.com
mdpi.com > 2076-16/16/3417 > 8115

Applied Sciences, Vol. 16, Pages 8115: A U-Net-Based Hybrid Network with Large-Kernel Convolution and Spatially Reduced Self-Attention for Structural Plane Segmentation in Tunnel-Face Images

4+ week, 1+ day ago   (458+ words) The structural planes exposed on tunnel faces reflect the integrity and geological conditions of surrounding rock, and their accurate segmentation is important for geological logging and surrounding rock assessment. However, these targets are typically slender, discontinuous, and low-contrast, and are…...