FORECATING EARTH RUMBLE'S USING MACHINE LEARNING
International Research Journal of Modernization in Engineering Technology and Science · 2024
An earthquake is a natural geophysical phenomenon characterized by the sudden release of energy in the Earth's crust that creates seismic waves.This release of energy typically results from the movement of tectonic plates beneath the Earth's surface.Tectonic plates are large pieces of the Earth's lithosphere that float on the semi-fluid asthenosphere beneath them.The interactions and movements of these plates lead to stress buildup along faults, and when this stress is released suddenly, it causes the ground to shake, resulting in an earthquake Humans cannot stop natural disasters, while the application of machine learning is a powerful and invaluable method and technique, used by researchers as a new area of study in geology, to reduce, as much as they can, the loss of life and billions of dollars in infrastructure and housing costs.The prediction of earthquakes using machine learning (ML) involves leveraging computational models to analyze seismic data and identify patterns or precursors that may precede seismic events.While predicting earthquakes with high precision remains a challenging task due to the complex nature of Earth's dynamics, ML techniques show promise in contributing to early warning systems