Imbalanced Seismic Event Discrimination Using Supervised Machine Learning

Imbalanced Seismic Event Discrimination Using Supervised Machine Learning

The discrimination between earthquakes and artificial explosions is a significant issue in seismic analysis to efficiently prevent and respond to seismic events. However, the discrimination of seismic events is challenging due to the low incidence rate. Moreover, the similarity between earthquakes a...

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Bibliographic Details
Main Authors:	Hyeongki Ahn, Sangkyeum Kim, Kyunghyun Lee, Ahyeong Choi, Kwanho You
Format:	Article
Language:	English
Published:	MDPI AG 2022-03-01
Series:	Sensors
Subjects:	seismic discrimination artificial explosion oversampling method supervised machine learning
Online Access:	https://www.mdpi.com/1424-8220/22/6/2219

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