Fully combining the emerging intelligent technologies, such as big data and artificial
intelligence, to realize the effective data fusion of bridge management with multi-source …

Regular inspection of nuclear power plant components is important to guarantee safe
operations. However, current practice is time consuming, tedious, and subjective, which …

Transportation assets represent a critical element of public infrastructures, and bridge
networks are an essential part of these assets. A system that includes several tools for …

Preventive maintenance is increasingly becoming an essential strategy in the bridge
industry owing to its proactive advantage of maintaining the structural sustainability during …

Bridge inspection using unmanned aerial vehicles (UAV) with high performance vision
sensors has received considerable attention due to its safety and reliability. As bridges …

Crack detection has been an active research topic for civil infrastructure inspection. Over the
last few years, many research efforts have focused on applying deep learning-based …

Regular inspection of the components of nuclear power plants is important to improve their
resilience. However, current inspection practices are time consuming, tedious, and …

Reinforced concrete bridge substructures are one of the most important road components,
requiring routine maintenance for road safety. These structures initially require visual …

We propose a simple but effective convolutional neural network to learn the similarities
between closely related raw pixel images for feature representation extraction and …

The current deterioration inspection method for bridges heavily depends on human
recognition, which is time consuming and subjective. This research adopts Self Organizing …