EGU25-15124, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-15124
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
A Hybrid Deep Learning Approach with LSTM and CNN for Enhanced Earthquake Prediction
Marat Nurtas, Beibit Zhumabayev, Aizhan Altaibek, and Kaken Aigerim
Marat Nurtas et al.
  • Institute of Ionosphere, Satellite and Geodynamics Resrarch, Almaty, Kazakhstan (maratnurtas@gmail.com)

How to cite: Nurtas, M., Zhumabayev, B., Altaibek, A., and Aigerim, K.: A Hybrid Deep Learning Approach with LSTM and CNN for Enhanced Earthquake Prediction, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15124, https://doi.org/10.5194/egusphere-egu25-15124, 2025.

This abstract has been withdrawn on 25 Jul 2025.