Seismic Detection
2 papers with code • 1 benchmarks • 2 datasets
When recording seismic ground motion in multiple sites using independent recording stations one needs to recognize the presence of the same parts of seismic waves arriving at these stations. This problem is known in seismology as seismic phase picking or, more generally, seismic detection.
Benchmarks
These leaderboards are used to track progress in Seismic Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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Southern California Seismic Network Data
INSTANCE
Most implemented papers
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
jamm1985/seismo-performer
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Sensors 2021
It is challenging to automate the accurate picking of seismic phases to the level of human capabilities.
INSTANCE – the Italian seismic dataset for machine learning
The Italian earthquake waveform data are collected here in a dataset suited for machine learning analysis (ML) applications.
