A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning

Kévin Fauvel
Kévin Fauvel
Daniel Balouek-Thomert
Daniel Balouek-Thomert
Diego Melgar
Diego Melgar
Pedro Silva
Pedro Silva
Véronique Masson
Véronique Masson
Alexandre Termier
Alexandre Termier

national conference on artificial intelligence, 2020.

Cited by: 3|Bibtex|Views100
Other Links: academic.microsoft.com

Abstract:

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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