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1. Introduction to Machine Learning in Seismic Monitoring
Modern seismic monitoring networks generate massive volumes of waveform data every day. A single seismic station may record millions of waveform segments annually. However, only a small fraction corresponds to actual earthquake signals. The key challenge is: How can seismic monitoring systems reliably distinguish real earthquake signals from background noise in real time? Traditional algorithms, such as STA/LTA triggers, rely on amplitude thresholds. They often struggle in n

Chelsie Huang
Mar 54 min read
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