Earthquake magnitude and location estimation from real time seismic waveforms with a transformer network
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Title
Earthquake magnitude and location estimation from real time seismic waveforms with a transformer network
Authors
Keywords
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Journal
GEOPHYSICAL JOURNAL INTERNATIONAL
Volume 226, Issue 2, Pages 1086-1104
Publisher
Oxford University Press (OUP)
Online
2021-04-10
DOI
10.1093/gji/ggab139
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- (2018) M. Raissi et al. JOURNAL OF COMPUTATIONAL PHYSICS
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- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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