miscellaneous-11
Seismic Detection
3260 papers • 126 benchmarks • 313 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.
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Southern California Seismic Network Data
Southern California Seismic Network Data
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Most implemented papers
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
A. Stepnov, V. Chernykh, A. Konovalov•Tue Aug 31 2021
A new machine learning approach was developed to classify seismic phases from local earthquakes based on spectrograms and utilizes the transformer architecture with a self-attention mechanism and without any convolution blocks, exhibiting the best classification and computation performance results on its pre-trained weights compared with baseline models from related work.