Seismic waves from earthquakes and other sources are used to infer the structure and
properties of Earth's interior. The availability of large-scale seismic datasets and the …

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 …

An earthquake early warning system (EEWS) should be included in smart cities to preserve
human lives by providing a reliable and efficient disaster management system. This system …

Autism spectrum disorder (ASD) presents a neurological and developmental disorder that
has an impact on the social and cognitive skills of children causing repetitive behaviours …

Earthquake prediction is considered a vital endeavour for human safety. Effective
earthquake prediction can drastically reduce human damage, which is of utmost importance …

Background Remote teaching and online learning have significantly changed the
responsiveness and accessibility after the COVID-19 pandemic. Disaster medicine (DM) has …

Floods are one of the most common natural disasters that occur frequently causing massive
damage to property, agriculture, economy and life. Flood prediction offers a huge challenge …

Abstract The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …

Homeland security is an important concern in contemporary society. National mega strategic
engineering areas and other key regions, characterized by the presence of high mountains …

The approach of federated learning (FL) addresses significant challenges, including access
rights, privacy, security, and the availability of diverse data. However, edge devices produce …