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 ...
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 ...
Abstract: In the quest for manufacturing excellence, this article presents a pioneering approach to defect detection on steel surfaces. Complex and small defects on steel surfaces manifest in diverse ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography. Methods Diagnostic performance of a DLS was tested ...
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.
Tech Xplore on MSN
Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results