Our article “A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning” has been accepted at AAAI20, the 34th Conference on Artificial Intelligence.
This paper introduces the Distributed Multi-Sensor Earthquake Early Warning (DMSEEW) system, a novel machine learning-based approach that combines data from GPS stations and seismometers to detect medium and large earthquakes.
Preprint is available on HAL