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 ...

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 ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

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