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A new neural network approach for seismic event detection
Scientists at Los Alamos National Laboratory have applied what is known as a “deep dense neural network” approach to the detection of seismic events.
Illustration of the DeepDetect method, which involves two cascaded modules: a classification module and a regression module. The classification module is designed to separate signals of interests from others. The regression module is used to localize the events within the signals of interests.
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