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The study combines ARIMA and LSTM models for earthquake risk severity prediction and disaster management. The hybrid model achieves a reported success rate of 98.06%, supporting data-driven earthquake prediction, infrastructure planning and emergency preparedness.
Earthquakes cause extensive human and economic damage, while accurate prediction of time and location remains difficult. AI, remote sensing, GIS and hybrid forecasting models are explored for earthquake analysis and disaster management.