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SeisT: A Foundational Deep Learning Model for Earthquake Monitoring Tasks

IEEE Transactions on Geoscience and Remote Sensing(2024)

Cited 0|Views33
Key words
Task analysis,Estimation,Feature extraction,Earthquakes,Convolution,Transformers,Monitoring,Back-azimuth estimation,deep learning,epicentral distance estimation,first-motion polarity classification,magnitude estimation,phase picking,seismogram
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