A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
national conference on artificial intelligence, 2020.
Our research aims to improve the accuracy of Earthquake Early Warning (EEW) systems by means of machine learning. EEW systems are designed to detect and characterize medium and large earthquakes before their damaging effects reach a certain location. Traditional EEW methods based on seismometers fail to accurately identify large earthquak...More
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Best Paper of AAAI, 2020