Earthquake Disaster Assessment (EDA) plays a critical role in earthquake disaster
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …

Mitigation of seismic risk is a challenge for 70+ countries in the world. Screening the building
stock for potential structural defects is one way to locate structures that are vulnerable to …

Rural building is important to the well-being of rural residents, leading to a significant need
to carry out extensive surveys and retrofits of many rural buildings. On-site surveys by expert …

Multitask learning (MTL) aims at beneficial joint solving of multiple prediction problems by
sharing information across different tasks. However, without adequate consideration of …

In high seismic risk regions, it is important for city managers and decision makers to create
programs to mitigate the risk for buildings. For large cities and regions, a mitigation program …

This article surveys the growing interest in utilizing Deep Learning (DL) as a powerful tool to
address challenging problems in earthquake engineering. Despite decades of advancement …

Urban streets exhibit a diverse range of characteristics, with some presenting significant
challenges to ambulance passage, directly impacting the safety of residents. Thus, ensuring …

Efforts have been made in the past to enhance building exposure models on a regional
scale with increasing spatial resolutions by integrating different data sources. This work …

This paper aims to propose an approach to automatically identify historic villages from
remote sensing images based on deep learning algorithm and accurately calculate the …

Colombia is in one of the most active seismic zones on Earth, where the Nazca, Caribbean,
and South American plates converge. Approximately 83% of the national population lives in …