Feasibility of principal component analysis for multi-class earthquake prediction machine learning model utilizing geomagnetic field data

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Feasibility of principal component analysis for multi-class earthquake prediction machine learning model utilizing geomagnetic field data

Geomagnetic field data have been found to contain earthquake (EQ) precursory signals; however, analyzing this high-resolution, imbalanced data presents challenges when implementing machine learning (ML). This study explored feasibility of principal component analyses (PCA) for reducing the dimension...

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Bibliographic Details
Main Authors:	Qaedi, Kasyful, Abdullah, Mardina, Yusof, Khairul Adib, Hayakawa, Masashi
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/113525/ http://psasir.upm.edu.my/id/eprint/113525/1/113525.pdf

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