The method predicts keyhole pores in 3D printed metal parts by using a combination of thermal imaging, X-ray imaging, and machine learning.

A battle over plastic—a material so prolific the UN calls the 90 percent of it that ends up as trash a pollution crisis—is under way in Florida. Coral Gables, a small city of 51,000 people ...

A former Marine Department official has maintained at a court inquest into one of Hong Kong’s deadliest maritime disasters that he and his colleagues were not obliged to detect structural flaws ...

Physics of Energy Conversion and Storage, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany ...

The contact line of the departing bubble aligned with heater surface plays a greater significance due to the presence of solid, liquid & vapor interface or the triple interline region. The present ...

Department of Solar Energy and Environmental Physics, Swiss Institute for Dryland Environmental and Energy Research, J. Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, ...

This repo contains implementation of deep learning-based steel surface defect segmentation models. Extensive experiments on several deep learning frameworks have been presented with various ...

Abstract: Surface defect detection is a critical task in product quality assurance for manufacturing lines. The deep learning-based methods recently developed for defect detection are typically ...

Abstract: Automatic surface defect detection is a critical technique for ensuring product quality in industrial casting production. While general object detection techniques have made remarkable ...