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Published in 2020 at "Evolving Systems"
DOI: 10.1007/s12530-019-09293-6
Abstract: It is true that the world today suffers greatly from the modernization by humans however the natural disasters in no way do less harm. In the wake of this threat, there is a need of…
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Keywords:
neural network;
earthquake;
functional link;
prediction earthquake ... See more keywords
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3
Published in 2023 at "Geophysical Research Letters"
DOI: 10.1029/2023gl103045
Abstract: Distributed Acoustic Sensing (DAS) is a promising technique to improve the rapid detection and characterization of earthquakes. Previous DAS studies mainly focus on the phase information but less on the amplitude information. In this study,…
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Keywords:
earthquake magnitude;
magnitude das;
earthquake;
scaling relation ... See more keywords
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Published in 2023 at "Physical review. E"
DOI: 10.1103/physreve.107.034132
Abstract: The emergence of a power-law distribution for the energy released during an earthquake is investigated in several models. Generic features are identified which are based on the self-affine behavior of the stress field prior to…
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Keywords:
magnitude distribution;
geometry;
earthquake magnitude;
law ... See more keywords
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2
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3175108
Abstract: In this letter, a method based on long short-term memory (LSTM) is presented to address the problem of earthquake magnitude estimation for earthquake early warning (EEW) and tsunami early warning (TW) purposes using a seismic…
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Keywords:
estimation;
station;
earthquake magnitude;
end ... See more keywords
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Published in 2021 at "Seismological Research Letters"
DOI: 10.1785/0220200317
Abstract: The stability and robustness of determining earthquake magnitude are of great significance in earthquake monitoring and seismic hazard assessment. The routine workflow of determining earthquake local magnitude, such as the widely used Richter magnitude, may…
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Keywords:
network;
magnitude;
earthquake magnitude;
deep learning ... See more keywords