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A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern California

Earth Sciences

A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern California

M. Monterrubio-velasco, S. Callaghan, et al.

Uncover the future of earthquake impact assessments! This study reveals how Machine Learning strategies, developed by Marisol Monterrubio-Velasco and colleagues, can significantly enhance ground shaking map estimations post-earthquake, making traditional methods a thing of the past.

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