Abstract: Detecting cracks is a crucial task to ensure the safety of engineering. However, the complexity of the crack background and the highly uneven pixel ratio between the crack and the background ...

Abstract: Infrastructure deterioration poses major economic and safety risks, motivating scalable and objective inspection of concrete structures. This article presents CrackNet-graph neural network, ...

UNEP’s International Methane Emissions Observatory (IMEO) will host a Technical Training Workshop for government and company stakeholders of Uzbekistan on satellite-based methane detection and ...

Pavement cracks have a highly complex spatial structure, a low contrasting background and a weak spatial continuity, posing a significant challenge to an effective crack detection method. To precisely ...

Abstract: As urbanization progresses, building surfaces increasingly suffer from degradation and structural damage due to prolonged environmental stress, raising significant safety concerns.

Abstract: Pavement crack detection is a practical and challenging task that has the ability to significantly reduce the burden of manual building and road maintenance in intelligent transportation ...

Abstract: Cracks are critical defects in concrete structures, traditionally identified through human inspection. However, computer vision techniques, especially convolutional neural networks (CNNs), ...

Some 50,000 residents of Garden Grove, California remain under an evacuation order Sunday as emergency response teams struggle to deal with a potentially explosive situation at a nearby aerospace ...

Crews responding to the chemical emergency at a Southern California aerospace facility discovered what officials described as a possible crack in the unstable tank that may be relieving pressure ...

Abstract: Crack evaluation is critical for assessing the structural integrity of concrete, significantly impacting safety, functionality, and durability. In response to the growing demand for more ...