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1. Automatic seismic waveform identification using a Convolutional Neural Network

Author

Benoit Tauzin, Nicholas Schmerr, Jorge Garcia, and Lauren Waszek

Subjects
Identification (information), business.industry, Computer science, Phase (waves), Waveform, Pattern recognition, Artificial intelligence, business, Convolutional neural network, Signal
Abstract

Typical seismic waveform datasets comprise from hundreds of thousands to several millions records. Compilation is performed by time-consuming handpicking of phase arrival times, or signal processin...

Published
2020
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