This research aims at applying machine learning based on VGG16-Net model for the detection of ... in detecting cracks in concrete structures and monitoring the concrete structural health are primarily ...

Introduction: Cracks are a key feature that determines ... We can improve the accuracy of the sandstone U-Net model by using transfer learning. This method has been applied on pavement distress ...

Their peer-reviewed paper was published Jan. 6, 2023, in Science Magazine: "Machine learning aided real ... type when it comes to real-time detection using lab-scale sensors because it occurs ...

How Canada Accidentally Helped Crack Computer Translation All Aboard the Metaverse: Is the New Digital Frontier Unstoppable? Porch Cameras and Facebook Groups Are Turning Streets into Surveillance ...

The identification of fatigue crack ... transfer learning using three state-of-the-art CNNs, namely VGG-16, ResNet-101, and feature pyramid network (FPN), as feature extractors, and a faster R-CNN as ...

Abstract: Concrete surface cracks are the first signs of structural deterioration that is crucial for repair, as well as constant exposure that can result in structural health and durability, so it ...