muhdadbachmid/EQ-ReturnPeriod-AttentionRLSTM

This repository implements an Attention-based Residual LSTM model for earthquake return period prediction in Sulawesi. Using USGS data (1975-2024), it enhances accuracy with attention mechanisms and residual connections, mitigating vanishing gradients. The model improves seismic forecasting, aiding disaster preparedness and risk mitigation.

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