Multi-class classification automated machine learning for predicting earthquakes using global geomagnetic field data

Multi-class classification automated machine learning for predicting earthquakes using global geomagnetic field data

The challenging task of earthquake (EQ) prediction has recently gained significant attention, particularly with machine learning techniques. Geomagnetic field analysis has yielded promising results in identifying EQ precursors. However, the complexity of the data has made it difficult to create an a...

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Bibliographic Details
Main Authors: Qaedi, Kasyful, Abdullah, Mardina, Yusof, Khairul Adib, Hayakawa, Masashi, Zulhamidi, Nur Fatin Irdina
Format: Article
Language:en
Published: Springer Science and Business Media B.V. 2025
Online Access:http://psasir.upm.edu.my/id/eprint/120710/1/120710.pdf
http://psasir.upm.edu.my/id/eprint/120710/
https://link.springer.com/article/10.1007/s11069-025-07373-2?error=cookies_not_supported&code=02452931-a311-48d2-8994-1406a0e68042
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http://psasir.upm.edu.my/id/eprint/120710/1/120710.pdf
http://psasir.upm.edu.my/id/eprint/120710/
https://link.springer.com/article/10.1007/s11069-025-07373-2?error=cookies_not_supported&code=02452931-a311-48d2-8994-1406a0e68042

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