Abstract: Cracks on road surfaces pose serious risks to both pedestrians and drivers. Traditional manual crack detection methods are not only slow but also pose safety risks. Automating this process ...

Abstract: This article proposes a new time-series signal processing model for crack detection and localization in spiral welded pipelines. Using the time series signal of pipeline cracks as the ...

Use Advanced Deep Learning Models CNNs (Convolutional Neural Networks): Classic models like VGG, ResNet, or custom CNNs trained for crack detection. U-Net / SegNet: For pixel-level crack segmentation.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

THE author states that this little book has been prepared at the request of friends in inspection departments to combine an outline of the working principles with the practical information needed ...

Researchers have developed a new portable Raman analyzer that can accurately measure very low concentrations of hydrogen gas ...

A car manufacturer mails out recall notices to its customers if it discovers defects. When this Toyota customer receives three recall notices for her Corolla, she questions whether she will be able to ...

But the big question remains—who among the Sharks cracks the smartest, most profitable deals? We are asking the viewers' opinion on this. In this season of Shark Tank India, the investor lineup ...