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 …

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 …

Machine learning (ML) and the internet of things (IoT) are among the most booming
research directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early …

Streaming potential is mainly related to electrokinetic energy conversion, which has been
considered to show promising potential for advanced technologies, especially sensing. The …

Abstract We introduce the Ensemble Earthquake Early Warning System (E3WS), a set of
Machine Learning (ML) algorithms designed to detect, locate, and estimate the magnitude of …

Rapidly and accurately predicting on-site peak ground velocity (PGV) is important for
earthquake hazard mitigation. Traditional methods used to predict PGV involve a single …

Public earthquake early warning systems (PEEWSs) have the potential to save lives by
warning people of incoming seismic waves up to tens of seconds in advance. Given the …

Earthquake early warning systems (EEWSs) aim to rapidly detect earthquakes and provide
timely alerts, so that users can take protective actions prior to the onset of strong ground …

Featured Application This paper investigates the peak ground acceleration (PGA) and
seismogenic fault characteristics of the Mw7. 8 earthquake that struck Turkey on 6 February …