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 ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

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 ...

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

By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.

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

Building ever more sophisticated A.I. detection tools may already be reaching its limits. As synthetic content floods the ...