Seismic intensity estimation for earthquake early warning using optimized machine learning model

MS Abdalzaher, MS Soliman… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The need for an earthquake early-warning system (EEWS) is unavoidable to save lives. In
terms of managing earthquake disasters and achieving effective risk mitigation, the quick …

Real-time seismic intensity measurements prediction for earthquake early warning: A systematic literature review

Z Cheng, C Peng, M Chen - Sensors, 2023 - mdpi.com
With the gradual development of and improvement in earthquake early warning systems
(EEWS), more accurate real-time seismic intensity measurements (IMs) methods are needed …

A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions

J Fayaz, C Galasso - Computer‐Aided Civil and Infrastructure …, 2023 - Wiley Online Library
Various earthquake early warning (EEW) methodologies have been proposed globally for
speedily estimating information (ie, location, magnitude, ground‐shaking intensities, and/or …

Peak ground acceleration prediction for on-site earthquake early warning with deep learning

Y Liu, Q Zhao, Y Wang - Scientific reports, 2024 - nature.com
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 …

Employing machine learning for seismic intensity estimation using a single station for earthquake early warning

MS Abdalzaher, MS Soliman, M Krichen, MA Alamro… - Remote Sensing, 2024 - mdpi.com
An earthquake early-warning system (EEWS) is an indispensable tool for mitigating loss of
life caused by earthquakes. The ability to rapidly assess the severity of an earthquake is …

On-site alert-level earthquake early warning using machine-learning-based prediction equations

J Song, J Zhu, Y Wang, S Li - Geophysical Journal International, 2022 - academic.oup.com
To rapidly and accurately provide alerts at target sites near the epicentre, we develop an on-
site alert-level earthquake early warning (EEW) strategy involving P-wave signals and …

Prediction of PGA in earthquake early warning using a long short-term memory neural network

A Wang, S Li, J Lu, H Zhang, B Wang… - Geophysical Journal …, 2023 - academic.oup.com
Peak ground acceleration (PGA) is a key parameter used in earthquake early warning
systems to measure the ground motion strength and initiate emergency protocols at major …

Threshold-based earthquake early warning for high-speed railways using deep learning

J Zhu, W Sun, S Li, K Yao, J Song - Reliability Engineering & System Safety, 2024 - Elsevier
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 …

Hybrid deep-learning network for rapid on-site peak ground velocity prediction

J Zhu, S Li, J Song - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
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 …

Continuous prediction of onsite PGV for earthquake early warning based on least squares support vector machine

S **dong, YU Cong, LI Shanyou - Chinese Journal of Geophysics, 2021 - dsjyj.com.cn
In order to improve the accuracy and continuity of the on-site instrumental seismic intensity
prediction, studying the PGV continuous prediction model for earthquake early warning …