Most complicated lock pattern-based seismological signal framework for automated earthquake detection

Most complicated lock pattern-based seismological signal framework for automated earthquake detection

Background: Seismic signals record earthquakes and also noise from different sources. The influence of noise makes it difficult to interpret seismograph signals correctly. This study aims to develop a computationally lightweight, accurate, and explainable machine learning model for the automated det...

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Bibliographic Details
Main Authors: Suat Gokhan Ozkaya, Nursena Baygin, Prabal D. Barua, Arvind R. Singh, Mohit Bajaj, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
MCLP
Earthquake prediction
Explainable feature engineering
Seismological signal processing
XAI
Online Access:http://www.sciencedirect.com/science/article/pii/S156984322300119X

Internet

http://www.sciencedirect.com/science/article/pii/S156984322300119X

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