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Deep learning focal mechanisms for the 2016 Amatrice earthquake sequence
An ETH Zurich MSc thesis project that aims to use deep neural networks to compute a very large focal mechanism catalogue for the 2016 Amatrice, Italy earthquake sequence.
Keywords: Earthquake, Seismology, Deep Learning, Artificial Intelligence, Focal Mechanism
See attached pdf for full project description
See attached pdf for full project description
Use deep learning methods to compile a very large focal mechanism catalogue and use it to interpret the kinematics of the 2016 Amatrice, Italy earthquake sequence.
Use deep learning methods to compile a very large focal mechanism catalogue and use it to interpret the kinematics of the 2016 Amatrice, Italy earthquake sequence.