A Deep-Learning-Based Real-Time Microearthquake Monitoring System (RT-MEMS) for Taiwan

A Deep-Learning-Based Real-Time Microearthquake Monitoring System (RT-MEMS) for Taiwan

A timely, high-resolution earthquake catalog is crucial for estimating seismic evolution and assessing hazards. This study aims to introduce a deep-learning-based real-time microearthquake monitoring system (RT-MEMS) for Taiwan, designed to provide rapid and reliable earthquake catalogs. The system...

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Bibliographic Details
Main Authors: Wei-Fang Sun, Sheng-Yan Pan, Yao-Hung Liu, Hao Kuo-Chen, Chin-Shang Ku, Che-Min Lin, Ching-Chou Fu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
real-time microearthquake monitoring system
deep learning
SeedLink
automated workflow
earthquake catalog
Online Access:https://www.mdpi.com/1424-8220/25/11/3353
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