Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...
On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...
Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...
The New Voice of Ukraine on MSN
UK researcher develops drone system to detect plastic landmines
Modern anti-personnel mines are small and often made with plastic casings that standard metal detectors cannot detect.
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...
This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...
Abstract: In this modern age of technology, the Internet of Things has covered all aspects of life including smart situations, smart homes, and smart spaces. Smart homes have a large number of IoT ...
Abstract: This study develops a scalable, effective, and user-friendly solution to tackle the problem of real-time object detection in photos. The suggested approach ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results