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 ...
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Greenwood High alumni win top prize at Purdue AI showcase
Two alumni of Greenwood High International School have secured first place in the poster competition at Purdue University's ...
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 ...
Researchers developed a daylight electroluminescence imaging method that enables detection of low-energy glass cracks in PV ...
By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.
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 ...
Every echocardiogram is a moving story. For a baby born with a complex heart condition, the gray and black images on the ultrasound screen can influence some of the earliest and most important ...
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