Machine learning-based classification of seismic events: a case study of seismic events in Jilin Province, NE China

IntroductionThe rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk.MethodsThis study utilized waveform data from seismic events (1.5 ≤ ML ≤ 3.5) recorded in Jilin Province between...

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Principais autores:	Fangyu Ren, Hao Liang, Hongyan Zhang, Tingting Wang, Qingfeng Ruan, Fan Zhang, Yu Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-12-01
coleção:	Frontiers in Earth Science
Assuntos:	machine learning seismic events classification non-natural earthquakes natural earthquakes Jilin Province
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/feart.2025.1708136/full
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