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Exploring challenges in deep learning of single-station ground motion records
Date
2025-12-01
Author
Çağlar, Ümit Mert
Yilmaz, Baris
Türkmen, Melek
Akagündüz, Erdem
Tileylioglu, Salih
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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URI
https://link.springer.com/article/10.1007/s12145-025-02036-z
https://hdl.handle.net/11511/116569
Journal
EARTH SCIENCE INFORMATICS
DOI
https://doi.org/10.1007/s12145-025-02036-z
Collections
Graduate School of Informatics, Article
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BibTeX
Ü. M. Çağlar, B. Yilmaz, M. Türkmen, E. Akagündüz, and S. Tileylioglu, “Exploring challenges in deep learning of single-station ground motion records,”
EARTH SCIENCE INFORMATICS
, vol. 18, no. 518, pp. 1–12, 2025, Accessed: 00, 2025. [Online]. Available: https://link.springer.com/article/10.1007/s12145-025-02036-z.
