Intelligent machines have grown in importance in recent years in object recognition in terms
of their ability to envision, comprehend, and reach decisions. There are a lot of complicated …

In this article, a deep neural network (DNN)-driven metamodel is first introduced to damage
identification of trusses utilizing acceleration signals incompletely measured from limited …

Frequent seismic events significantly heighten the likelihood of the building structure being
impacted throughout its operational lifecycle. Seismic effects on these structures result in a …

An appropriate detection network is required to extract building information in remote
sensing images and to relieve the issue of poor detection effects resulting from the …

Chinese historical and cultural villages are known for numerous vernacular architectural
heritages of a wide-ranging, widely distributed, and artificially intensive nature. In order to …

The visual quality and spatial distribution of architectural styles represent a city's image,
influence inhabitants' living conditions, and may have positive or negative social …

Building collapse is a leading cause of casualties and economic losses during disasters.
Accurate and timely assessment of building damage is critical for effective emergency …

After a natural disaster, it is critical to perform a damage assessment of affected buildings
rapidly and accurately to meet emergency response requirements. With the development of …

Earthquakes pose a significant threat to life and property worldwide. Rapid and accurate
assessment of earthquake damage is crucial for effective disaster response efforts. This …

Coastal communities are increasingly vulnerable to devastating losses caused by extreme
climatological events such as hurricanes. As risk escalates, an urgent need arises to …