CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
Authors
Keywords
-
Journal
Scientific Reports
Volume 9, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-07-16
DOI
10.1038/s41598-019-45748-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Non-stationary least-squares complex decomposition for microseismic noise attenuation
- (2018) Yangkang Chen GEOPHYSICAL JOURNAL INTERNATIONAL
- Suppression of Azimuth Ambiguities in Spaceborne SAR Images Using Spectral Selection and Extrapolation
- (2018) Youming Wu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Convolutional neural network for earthquake detection and location
- (2018) Thibaut Perol et al. Science Advances
- Generalized Seismic Phase Detection with Deep Learning
- (2018) Zachary E. Ross et al. BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
- Fast waveform detection for microseismic imaging using unsupervised machine learning
- (2018) Yangkang Chen GEOPHYSICAL JOURNAL INTERNATIONAL
- Automatic microseismic event picking via unsupervised machine learning
- (2017) Yangkang Chen GEOPHYSICAL JOURNAL INTERNATIONAL
- Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data
- (2017) S. Mostafa Mousavi et al. GEOPHYSICS
- Empirical Low-Rank Approximation for Seismic Noise Attenuation
- (2017) Yangkang Chen et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Spatio-temporal evolution of frequency-magnitude distribution and seismogenic index during initiation of induced seismicity at Guy-Greenbrier, Arkansas
- (2017) S. Mostafa Mousavi et al. PHYSICS OF THE EARTH AND PLANETARY INTERIORS
- Seismicity During the Initial Stages of the Guy-Greenbrier, Arkansas, Earthquake Sequence
- (2017) Clara E. Yoon et al. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
- Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresholding
- (2016) S. Mostafa Mousavi et al. BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
- Seismic features and automatic discrimination of deep and shallow induced-microearthquakes using neural network and logistic regression
- (2016) S. Mostafa Mousavi et al. GEOPHYSICAL JOURNAL INTERNATIONAL
- Automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform
- (2016) S. Mostafa Mousavi et al. GEOPHYSICS
- Adaptive noise estimation and suppression for improving microseismic event detection
- (2016) S. Mostafa Mousavi et al. JOURNAL OF APPLIED GEOPHYSICS
- Characteristics of Induced/Triggered Earthquakes during the Startup Phase of the Guy–Greenbrier Earthquake Sequence in North–Central Arkansas
- (2016) Paul O. Ogwari et al. SEISMOLOGICAL RESEARCH LETTERS
- Temporal variation in the magnitude-frequency distribution during the Guy-Greenbrier earthquake sequence
- (2015) Yihe Huang et al. GEOPHYSICAL RESEARCH LETTERS
- Earthquake detection through computationally efficient similarity search
- (2015) C. E. Yoon et al. Science Advances
- Disposal of Hydrofracking Waste Fluid by Injection into Subsurface Aquifers Triggers Earthquake Swarm in Central Arkansas with Potential for Damaging Earthquake
- (2012) S. Horton SEISMOLOGICAL RESEARCH LETTERS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started