523 citations · 1.3k across the 14 of their papers we have counts for
3 papers · 1 filter
Seismic Signal Denoising and Decomposition Using Deep Neural Networks
Weiqiang Zhu, S. Mostafa Mousavi, Gregory C. Beroza
Denoising and filtering are widely used in routine seismic-data-processing to improve the signal-to-noise ratio (SNR) of recorded signals and by doing so to improve subsequent anal…
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng +1
Earthquake signal detection is at the core of observational seismology. A good detection algorithm should be sensitive to small and weak events with a variety of waveform shapes, r…
PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method
Weiqiang Zhu, Gregory C. Beroza
As the number of seismic sensors grows, it is becoming increasingly difficult for analysts to pick seismic phases manually and comprehensively, yet such efforts are fundamental to…