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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113525/1/113525.pdf http://psasir.upm.edu.my/id/eprint/113525/ https://www.mdpi.com/2076-3263/14/5/121 |
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