Researchers have developed a new LiDAR approach that makes it possible to image small objects with much greater precision and ...
Researchers developed a daylight electroluminescence imaging method that enables detection of low-energy glass cracks in PV ...
A research team led by Prof. Zhang Zhirong from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences ...
A software workflow automates X-ray analysis to spot crystal defects in diamond and advanced semiconductors, helping improve ...
Abstract: Woven composite fan blade preforms are essential structural components in modern aeroengines, where the quality of surface forming directly influences aerodynamic performance and structural ...
BlackSky's planned AROS wide-area surveillance satellites will tip and cue its Gen-3 birds designed for rapid revisit. (Image: BlackSky) WASHINGTON ― The National Reconnaissance Office (NRO) has ...
Abstract: Fabric defect detection plays a pivotal role in the textile industry, as it ensures product quality and minimizes waste. Traditional machine learning models often struggle with the scarcity ...
California-based company Atomera has announced a materials engineering advancement intended to make gallium nitride on silicon (GaN-on-Si) a more practical substrate option for radio frequency (RF) ...
A computer vision and robotics enthusiast has developed an AI-powered laser system capable of detecting, tracking, and eliminating mosquitoes using custom-trained deep learning models and precision ...
In a nutshell: A computer vision specialist has built a system that uses deep learning and a laser-based targeting setup to hunt down mosquitoes. Steven Cheng, who works in computer vision and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results