Fuzzy C-Means clustering and LSTM-based magnitude prediction of earthquakes in the Aegean region of Türkiye

Türkiye is highly susceptible to earthquakes due to its active tectonic structure and the presence of major fault lines. The accurate estimation of earthquake magnitudes is essential for effective risk mitigation and structural resilience. This study proposes an integrated methodology combining clus...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 33889 - 24
Hauptverfasser:	Aloraini, Badr, Cekim, Hatice Oncel, Karakavak, Hatice Nur, Ozel, Gamze
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 30.09.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	704/172 704/2151 704/4111 Accuracy Cluster analysis Deep learning Earthquake magnitudes Earthquake prediction Earthquakes Fault lines Fuzzy C-Means clustering Genetic algorithms Gumbel distribution Humanities and Social Sciences Long short-term memory multidisciplinary Neural networks Optimization techniques Probability distribution Regions Risk reduction Science Science (multidisciplinary) Seismic activity Statistical analysis Statistical models Time series Trends Nepal Anatolia Turkey Gumbel distribution Earthquake magnitudes Fuzzy C-Means clustering Long-short term memory
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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