523 citations · 796 across the 3 of their papers we have counts for
3 papers
An End-to-End Earthquake Detection Method for Joint Phase Picking and Association using Deep Learning
Weiqiang Zhu, Kai Sheng Tai, S. Mostafa Mousavi +2
Earthquake monitoring by seismic networks typically involves a workflow consisting of phase detection/picking, association, and location tasks. In recent years, the accuracy of the…
Earthquake Phase Association using a Bayesian Gaussian Mixture Model
Weiqiang Zhu, Ian W. McBrearty, S. Mostafa Mousavi +2
Earthquake phase association algorithms aggregate picked seismic phases from a network of seismometers into individual earthquakes and play an important role in earthquake monitori…
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…