Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks

Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks

Located in the subduction zone of four tectonic plates, the high occurrence of seismic events is a severe threat in Indonesia. Mitigating the adverse effects of such disasters is essential to forecast the likelihood of future earthquakes. Consequently, developing a robust method of forecasting futu...

Full description

Saved in:
Bibliographic Details
Main Authors: Tyanita Puti Marindah Wardhani, Zulkifli Tahir, Elly Warni, Anugrayani Bustamin, Muhammad Alief Fahdal Imran Oemar, Muhammad Alwi Kayyum
Format: Article
Language:English
Published: UUM Press 2025-01-01
Series:Journal of ICT
Subjects:
Deep learning
earthquake forecasting
LSTM
spatial distribution
seismology
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/24382
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items