As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

Abstract The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights
the importance of scientific research, supporting the 'availability and application of science …

Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …

Various earthquake early warning (EEW) methodologies have been proposed globally for
speedily estimating information (ie, location, magnitude, ground‐shaking intensities, and/or …

While deterministically predicting the time and location of earthquakes remains impossible,
earthquake forecasting models can provide estimates of the probabilities of earthquakes …

Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or
even human beings with the substantial potential to revolutionize post-disaster risk …

Earthquakes are one of the most overwhelming types of natural hazards. As a result,
successfully handling the situation they create is crucial. Due to earthquakes, many lives can …

As one of the most earthquake-prone regions in the world, China faces extremely serious
earthquake threats, especially for those heavily populated urban areas located near large …

Likert scales are a common methodological tool for data collection used in quantitative or
mixed-method approaches in multiple domains. They are often employed in surveys or …

While uncertainty quantification (UQ) has served a prominent role in ensuring the safety of
dynamical engineering systems, the lack of an integrated approach to handle the aleatory …