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Machine Learning for Earthquake Detection:Deep Analysis of Reliable Real-Time Seismic Signal/Noise Discrimination With Machine Learning
1. Introduction Modern seismic monitoring networks generate massive volumes of waveform data every day. A single seismic station may record millions of waveform segments annually , yet only a small fraction corresponds to actual earthquake signals. The key challenge is therefore: 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 and o
GUIEP
6 hours ago4 min read
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