Recent advances in earthquake seismology using machine learning
Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …
progressed in various fields of earthquake seismology, achieving great success. Here, we …
Seismic intensity estimation for earthquake early warning using optimized machine learning model
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 …
terms of managing earthquake disasters and achieving effective risk mitigation, the quick …
Improvement of the seismic resilience of regional buildings: A multi-objective prediction model for earthquake early warning
H Wang, L Xu, X ** review (July 2024)
Y Zhao, S Lv, P Liu - IEEE Access, 2024 - ieeexplore.ieee.org
Earthquakes can cause disastrous casualties and infinite economic loss worldwide. People
have tried various means to ease earthquake disasters. Machine learning (ML) is one …
have tried various means to ease earthquake disasters. Machine learning (ML) is one …
Deep learning peak ground acceleration prediction using single-station waveforms
Predicting the peak ground acceleration (PGA) from the first few seconds after the P-wave
arrival time is crucial in estimating the ground motion intensity of the earthquake. The early …
arrival time is crucial in estimating the ground motion intensity of the earthquake. The early …
RFloc3D: A machine-learning method for 3-D microseismic source location using P-and S-wave arrivals
Passive seismic source location imaging is important to various scientific and engineering
research topics spanning from unconventional reservoir development in exploration …
research topics spanning from unconventional reservoir development in exploration …
On-site instrumental seismic intensity prediction for China via recurrent neural network and transfer learning
J Zhu, S Li, Y Wei, J Song - Journal of Asian Earth Sciences, 2023 - Elsevier
China is a seismically active country. Rapidly and accurately predicting instrumental seismic
intensity at recording sites is important for China to mitigate earthquake disasters. According …
intensity at recording sites is important for China to mitigate earthquake disasters. According …
Application of machine learning to determine earthquake hypocenter location in earthquake early warning
C Yang, K Zhang, G Chen, Y Pan… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
We propose a novel hypocenter localization model based on machine learning in the hope
of providing a feasible solution for earthquake early warning system (EEWs). The model …
of providing a feasible solution for earthquake early warning system (EEWs). The model …
Pre-earthquake anomaly extraction from borehole strain data based on machine learning
C Chi, C Li, Y Han, Z Yu, X Li, D Zhang - Scientific Reports, 2023 - nature.com
Borehole strain monitoring plays a critical role in earthquake precursor research. With the
accumulation of observation data, traditional data processing methods struggle to handle …
accumulation of observation data, traditional data processing methods struggle to handle …