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Geomatics, Natural Hazards and Risk Volume 12, 2021 - Issue 1
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Research on compressive sensing of strong earthquake signals for earthquake early warning

Jiening Xiaa School of Computer Science, Wuhan University, Wuhan, China;b Hubei Key Laboratory of Earthquake Early Warning, Institute of Seismology, Wuhan, China;c Wuhan Base of Institute of Crustal Dynamics, CEA, Wuhan, China;d Wuhan Institute of Seismologic Instrument Co., LTD, Wuhan, China
,
Yuanxiang Lia School of Computer Science, Wuhan University, Wuhan, ChinaCorrespondence[email protected]
,
Yuxiu Chengb Hubei Key Laboratory of Earthquake Early Warning, Institute of Seismology, Wuhan, China;c Wuhan Base of Institute of Crustal Dynamics, CEA, Wuhan, China;d Wuhan Institute of Seismologic Instrument Co., LTD, Wuhan, China
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Juan Lia School of Computer Science, Wuhan University, Wuhan, China
&
Shasha Tiana School of Computer Science, Wuhan University, Wuhan, China
Pages 694-715 | Received 28 Oct 2020, Accepted 08 Feb 2021, Published online: 02 Mar 2021

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Read on this site (1)

Xiaokang Rao & Shengxiang Huang. (2023) Feature extraction and discrimination of blasting and natural earthquake waves. Geomatics, Natural Hazards and Risk 14:1.
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Articles from other publishers (1)

Rabia Tehseen, Muhmmad Shoaib Farooq & Adnan Abid. (2021) EPS: An earthquake prediction system using Federated Learning. EPS: An earthquake prediction system using Federated Learning.

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