Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
A young man approached a card table set up under the Green Line tracks on the city’s West Side and asked the woman behind it if she had any clean needles or naloxone, a medication that can reverse the ...
Accurate and efficient crop row detection is essential for the visual navigation of agricultural machinery. However, existing deep learning–based methods often suffer from high computational costs, ...
Add Yahoo as a preferred source to see more of our stories on Google. A new smartphone-assisted test called LEO helps people who avoid gluten — an estimated 1% with celiac disease and another 6% with ...
About 1% of the United States population has celiac disease, according to the Children's Hospital of Philadelphia. It explained that when people with celiac disease consume foods containing gluten, it ...
According to a new study, the use of an artificial intelligence-based "You Only Look Once (YOLO)" algorithm showed high precision in detecting B lines on lung ultrasound (LUS) images, with substantial ...
Effective Machine Learning Models for Fault Detection and Classification in Power Transmission Lines
Abstract: Effective fault detection and classification in transmission lines is crucial for maintaining system stability and security. Undetected or misclassified faults can lead to power outages, ...
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