Source locations provide fundamental information on earthquakes and lay the foundation for
seismic monitoring at all scales. Seismic source location as a classical inverse problem has …

This article provides an overview of current applications of machine learning (ML) in
seismology. ML techniques are becoming increasingly widespread in seismology, with …

摘要很多地震学问题的解决都依赖于地震事件的准确检测, 随着计算机软硬件的快速发展,
机器学习学科发展迅速, 其在地震事件自动检测中的应用在过去几十年被广泛研究 …

EQcorrscan is an open‐source Python package for the detection and analysis of repeating
and near‐repeating seismicity. The package provides reliable, well‐tested, system‐agnostic …

Advances in machine learning (ML) techniques and computational capacity have yielded
state‐of‐the‐art methodologies for processing, sorting, and analyzing large seismic data …

The Mendocino triple junction—the intersection of the Pacific, North American, and Gorda
plates—activates a collection of disparate faults that reconcile Cascadia subduction with …

Abstract The 2016 M7. 8 Kaikōura earthquake is one of the most complex earthquakes in
recorded history, with significant rupture of at least 21 crustal faults. Using a matched‐filter …

Autonomous detection of desired events from large databases using time series
classification is becoming increasingly important in civil engineering as a result of continued …

Abstract The 17 August 1999 Mw7. 4 Izmit earthquake ruptured the western section of the
North Anatolian Fault Zone and strongly altered the fault zone properties and stress field …

Microearthquake detection and location are critical for understanding earthquake
mechanisms and mitigating seismic hazards. Match and locate (M&L) is an effective method …