Designing surfaces that precisely control how light behaves at the nanoscale is tricky. Optical Fourier surfaces, which are ...
Abstract: For product reliability and workplace safety, flaw detection in steel castings is very important. The study presents a novel deep learning approach that can employ X-ray images to detect ...
AND SHE’S AT CITY HALL WITH THE CONCERN OVER THE SYSTEM’S EFFECTIVENESS, BALTIMORE CITY SCHOOLS STARTED USING THE EVOLVE PROGRAM IN 2024. THEY SAY LAST SCHOOL YEAR, IT DETECTED NO WEAPONS IN THIS ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
Congenital heart defects (abnormalities of the heart that are present at birth) are the most common type of birth defect and, according to the Centers for Disease Control and Prevention, about 1 in 4 ...
Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...
Abstract: In the mass production process, producing the product quality is a challenging task, because of the metal casting process, the presence of the product varies irregularly due to the kinds of ...
As organizations continue to build out their security infrastructure, it becomes difficult to know whether they’re getting good value, and more important, whether they’re leaving holes in their ...
proteanTecs and ELES have partnered together to enhance reliability testing with deep data analytics. This collaboration enables SoC manufacturers to improve their qualification envelope to achieve ...
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