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 …

Earthquake early warning (EEW) is the delivery of ground shaking alerts or warnings. It is
distinguished from earthquake prediction in that the earthquake has nucleated to provide …

Earthquake early warning (EEW) is a relatively new strategy for reducing disaster risk and
increasing resilience to seismic hazard in urban settings. EEW systems provide real-time …

Rapid and accurate prediction of peak ground acceleration (PGA) is an important basis for
determining seismic damage through on-site earthquake early warning (EEW). The current …

ABSTRACT The University of California Berkeley's (UCB) Earthquake Alert Systems
(ElarmS) is a network‐based earthquake early warning (EEW) algorithm that was one of the …

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 …

Earthquakes are disasters that threaten the operational safety of high-speed railways. To
obtain reliable alerts for the earthquake monitoring and early warning systems of high-speed …

Recent studies suggest that small and large earthquakes nucleate similarly, and that they
often have indistinguishable seismic waveform onsets. The characterization of earthquakes …

A basic methodology for earthquake early warning is the use of point‐source models fed
with observational data from triggered stations. The 2011 Off the Pacific Coast of Tohoku …

This research breaks new ground in earthquake prediction for Los Angeles, California, by
leveraging advanced machine learning and neural network models. We meticulously …