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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, showing seismic date, classification module, detected event, localized event and regression module

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.