Two alumni of Greenwood High International School have secured first place in the poster competition at Purdue University's ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...

Abstract: Automated sewer defects detection has become an important trend for better management and maintenance of urban sewer systems. Deep learning technology has developed rapidly and offers an ...

Abstract: In complex industrial manufacturing processes, various defects may occur in products because of the poor quality of the equipment, materials, and human factors. These defects may lead to ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

AI-Powered Visual Defect Detection is a computer vision project that automatically identifies defective and non-defective manufactured products using deep learning. The system uses a Convolutional ...

Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...

Carbon quantum dots (CQDs) are tiny carbon-based nanomaterials that have attracted increasing attention as environmentally ...

Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...

EchoNext, a new AI tool cleared by the FDA, will let doctors use an EKG to easily screen patients for structural heart ...