Crossmark

Feature-driven LSTM model for earthquake-based anomaly detection in noisy environments

Published Online: 2026-01-27

Published Print: 2026-01

Authors

Tokgöz, Gürhan https://orcid.org/0000-0002-3302-3992
Avanoğlu Sıcacık, Eda https://orcid.org/0000-0003-4154-6758
Funding

Funding for this research was provided by:

Gazi University
License Information

Text and Data Mining valid from 2026-01-01

Version of Record valid from 2026-01-27
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Article History

Received: 20 December 2024

Accepted: 8 November 2025

First Online: 27 January 2026

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

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