Technical and methodological enhancement of hazards and disaster research is identified
as a critical question in disaster management. Artificial intelligence (AI) applications, such as …

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

Abstract Machine learning (ML) has emerged as a powerful tool for prediction of systems
behavior in many engineering disciplines. A few applications of ML techniques are available …

Earthquake is one of the most devastating natural catastrophes, mainly because there is
rarely any advance notice and hence little opportunity to react. This makes the issue of …

Seismic activity prediction has been a challenging research domain: in this regard, accurate
prediction using historical data is an intricate task. Numerous machine learning and …

Earthquakes are the most destructive natural hazards because of their adversely severe
impacts on urban areas. Earthquakes affect people's lives and properties, thus captivating …

Building-damage map** using remote sensing images plays a critical role in providing
quick and accurate information for the first responders after major earthquakes. In recent …

The increase in water demand and the scarcity of fresh water in arid regions have
contributed to the depletion of groundwater. Artificial Groundwater Recharge (AGR) is an …

New and effective approaches for the analysis of seismic data make it possible to identify the
distribution of earthquakes hel** further to assess frequency of occurrence any associated …

Natural hazards are complex phenomena that can occur independently, simultaneously, or
in a series as cascading events. For any particular region, numerous single hazard maps …