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

@inproceedings{Fauvel2020ADM,
  title={A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning},
  author={Kevin Fauvel and Daniel Balouek-Thomert and Diego Melgar and Pedro Silva and Anthony Simonet and Gabriel Antoniu and Alexandru Costan and V{\'e}ronique Masson and M. Parashar and Ivan Rodero and Alexandre Termier},
  booktitle={AAAI Conference on Artificial Intelligence},
  year={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 earthquakes due to their sensitivity to the ground motion velocity. The recently introduced high-precision GPS stations, on the other hand, are ineffective to identify… 
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