Applying unsupervised machine-learning algorithms and MUSIC back-projection to characterize 2018–2022 Hualien earthquake sequence
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2311-7680
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Applying unsupervised machine-learning algorithms and MUSIC back-projection to characterize 2018–2022 Hualien earthquake sequence ; volume:33 ; number:1 ; day:5 ; month:9 ; year:2022 ; pages:1-18 ; date:12.2022
Terrestrial, atmospheric and oceanic sciences ; 33, Heft 1 (5.9.2022), 1-18, 12.2022
- Creator
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Jian, Pei-Ru
Wang, Yu
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s44195-022-00026-y
- URN
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urn:nbn:de:101:1-2022112221122671645218
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:21 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jian, Pei-Ru
- Wang, Yu
- SpringerLink (Online service)