Earthquake genesis and earthquake early warning systems: challenges and a way forward

R Kumar, H Mittal, Sandeep, B Sharma - Surveys in Geophysics, 2022 - Springer
Several natural hazards, including earthquakes, may trigger disasters and the presence of
disaster drivers further lead to the massive loss of life and property, every year around the …

A review on the development of earthquake warning system using low-cost sensors in Taiwan

YM Wu, H Mittal - Sensors, 2021 - mdpi.com
Seismic instrumentation for earthquake early warnings (EEWs) has improved significantly in
the last few years, considering the station coverage, data quality, and the related …

Importance of real-time PGV in terms of lead-time and shakemaps: Results using 2018 ML 6.2 & 2019 ML 6.3 Hualien, Taiwan earthquakes

H Mittal, BM Yang, TL Tseng, YM Wu - Journal of Asian Earth Sciences, 2021 - Elsevier
Two earthquakes having almost the same magnitude occurred in the Hualien area of
Taiwan in 2018 and 2019. The 2018 earthquake had a magnitude ML 6.2 produced severe …

Progress on the earthquake early warning and shakemaps system using low-cost sensors in Taiwan

H Mittal, BM Yang, YM Wu - Geoscience Letters, 2022 - Springer
Building an earthquake early warning (EEW) network requires the installation of seismic
instruments around the seismogenic zone. Using low-cost sensors to build a seismic …

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 …

Machine Learning‐Based Rapid Epicentral Distance Estimation from a Single Station

J Zhu, W Sun, X Zhou, K Yao… - Bulletin of the …, 2024 - pubs.geoscienceworld.org
Rapid epicentral distance estimation is of great significance for earthquake early warning
(EEW). To rapidly and reliably predict epicentral distance, we developed machine learning …

Real-time production of PGA, PGV, Intensity, and Sa shakemaps using dense MEMS-based sensors in Taiwan

BM Yang, H Mittal, YM Wu - Sensors, 2021 - mdpi.com
Using low-cost sensors to build a seismic network for earthquake early warning (EEW) and
to generate shakemaps is a cost-effective way in the field of seismology. National Taiwan …

DFTQuake: Tripartite Fourier attention and dendrite network for real-time early prediction of earthquake magnitude and peak ground acceleration

A Joshi, NR Vedium, B Raman - Engineering Applications of Artificial …, 2025 - Elsevier
Earthquakes are extremely destructive natural disasters, causing ground shaking, tsunamis,
fissures, and landslides that result in loss of life. Early prediction of earthquake magnitude …

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 …

India's Earthquake Early Warning Systems: A Review of Developments and Challenges

H Mittal, S Pal, R Kumar, A Saini, YM Wu… - Surveys in …, 2025 - Springer
The risk of earthquakes and their effects on both nature and infrastructure in seismically
active regions of India require adaptable and scalable earthquake early warning (EEW) …