Predict Near Term Major Earthquakes and Generate Evidence-Based Credible Pre-Warnings
OwnerSheree H Weninventor
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OwnerSheree H Weninventor
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A novel system and method for near-term earthquake prediction is disclosed, weaving multiple independent datasets, including historical and real-time satellite-based remote sensing data and terrestrial seismic testing data. The system employs artificial intelligence and machine learning to analyze correlations, detect precursor signals, and generate probabilistic forecasts. The predictive model continuously evolves using newly acquired data, improving accuracy and reliability. The invention aims to provide an effective early warning system for mitigating earthquake-related risks. This system and its methods can monitor and predict mega earthquake precursors at the earliest time, days and hours ahead to allow proper evacuation and infrastructure preparations.
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