Although convolutional neural networks (CNN) have been applied successfully to many
fields, the onsite earthquake early warning by CNN remains unexplored. This study aims to …

The onsite early warning techniques that issue earthquake alerts based on the seismic
response of single stations have proven to be quite successful in detecting damage. The …

In Japan, the nationwide earthquake early warning (EEW) system has been being operated
by the Japan Meteorological Agency (JMA) since 2007, disseminating information on …

On-site earthquake early warning techniques, which issue alerts based on seismic waves
measured at a single station, are promising, and have performed quite successfully during …

An earthquake early warning (EEW) system rapidly analyzes seismic data to report the
occurrence of an earthquake before strong shaking is felt at a site. In Japan, the integrated …

Detecting P-wave onsets for online processing is an important component for real-time
seismology. As earthquake early warning systems around the world come into operation, the …

Current earthquake early warning (EEW) systems lack the ability to appropriately handle
multiple concurrent earthquakes, which led to many false alarms during the 2011 Tohoku …

Schemes for predicting seismic ground motion, including real‐time prediction (earthquake
early warning [EEW]), ideally should incorporate the effects of the source, path, and site …

Many studies on the topic of earthquake early warning systems (EEWS) have been
proposed over the past ten years. Deep learning techniques can be used to determine peak …

On-site earthquake early warning (EEW) techniques, relying on single-station seismic wave
measurements, have demonstrated efficacy in mitigating damage caused by destructive …