Most complicated lock pattern-based seismological signal framework for automated earthquake detection
Article
Article Title | Most complicated lock pattern-based seismological signal framework for automated earthquake detection |
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ERA Journal ID | 4640 |
Article Category | Article |
Authors | Gokhan, Suat Gokhan, Baygin, Nursena, Barua, Prabal D., Singh, Arvind R., Bajaj, Mohit, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra |
Journal Title | International Journal of Applied Earth Observation and Geoinformation |
Journal Citation | 118 |
Article Number | 103297 |
Number of Pages | 11 |
Year | 2023 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 0303-2434 |
1569-8432 | |
1872-826X | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jag.2023.103297 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S156984322300119X |
Abstract | Background Material and method Results Conclusions |
Keywords | Earthquake prediction; MCLP; Explainable feature engineering ; Seismological signal processing ; XAI |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Byline Affiliations | Ardahan University, Turkiye |
Erzurum Technical University, Turkey | |
School of Business | |
University of Technology Sydney | |
Australian International Institute of Higher Education, Australia | |
University of New England | |
Taylor’s University, Malaysia | |
Cogninet Australia, Australia | |
SRM Institute of Science and Technology, India | |
Kumamoto University, Japan | |
University of Sydney | |
University of Pretoria, South Africa | |
Graphic Era (Deemed to be University), India | |
Applied Science Private University, Jordan | |
Firat University, Turkey | |
National Heart Centre, Singapore | |
Duke-NUS Medical School, Singapore | |
School of Mathematics, Physics and Computing |
https://research.usq.edu.au/item/z1v90/most-complicated-lock-pattern-based-seismological-signal-framework-for-automated-earthquake-detection
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