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Deep denoising autoencoder for seismic random noise attenuation

Geophysics, 2020-07, Vol.85 (4), p.V367-V376

2020

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Prototype Implementation of a Digitizer for Earthquake Monitoring System

Sensors (Basel, Switzerland), 2024-08, Vol.24 (16), p.5287

2024

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A fully unsupervised and highly generalized deep learning approach for random noise suppression

Geophysical Prospecting, 2021-05, Vol.69 (4), p.709-726

2021

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Earthquake Detection and P-Wave Arrival Time Picking Using Capsule Neural Network

IEEE transactions on geoscience and remote sensing, 2021-07, Vol.59 (7), p.6234-6243

2021

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CapsPhase: Capsule Neural Network for Seismic Phase Classification and Picking

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-11

2022

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Unsupervised deep learning for 3D interpolation of highly incomplete data

Geophysics, 2023-01, Vol.88 (1), p.WA189-WA200

2023

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Seismic Data Compression Using Deep Learning

IEEE access, 2021, Vol.9, p.58161-58169

2021

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Self-Attention Fully Convolutional DenseNets for Automatic Salt Segmentation

IEEE transaction on neural networks and learning systems, 2023-07, Vol.34 (7), p.3415-3428

2023

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Thousands of Induced Earthquakes per Month in West Texas Detected Using EQCCT

Geosciences (Basel), 2024-05, Vol.14 (5), p.114

2024

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Unsupervised deep learning for single-channel earthquake data denoising and its applications in event detection and fully automatic location

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-1

2022

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Deep Learning Approach for Earthquake Parameters Classification in Earthquake Early Warning System

IEEE geoscience and remote sensing letters, 2021-07, Vol.18 (7), p.1293-1297

2021

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Self-Attention Deep Image Prior Network for Unsupervised 3-D Seismic Data Enhancement

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14

2022

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Unsupervised 3-D Random Noise Attenuation Using Deep Skip Autoencoder

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16

2022

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Salt3DNet: A Self-Supervised Learning Framework for 3-D Salt Segmentation

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-15

2024

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RFloc3D: A Machine-Learning Method for 3-D Microseismic Source Location Using P- and S-Wave Arrivals

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-10

2023

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Automatic waveform-based source-location imaging using deep learning extracted microseismic signals

Geophysics, 2020-11, Vol.85 (6), p.KS171-KS183

2020

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High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism

IEEE transaction on neural networks and learning systems, 2023-07, Vol.34 (7), p.3429-3443

2023

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An Unsplit CFS-PML Scheme for the Second-Order Wave Equation With Its Application in Fractional Viscoacoustic Simulation

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-11

2022

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Statistics-Guided Residual Dictionary Learning for Footprint Noise Removal

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-11

2022

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Deep Learning Peak Ground Acceleration Prediction Using Single-Station Waveforms

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1

2024

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Enhancing earthquake detection from distributed acoustic sensing data by coherency measure and moving-rank-reduction filtering

Geophysics, 2023-11, Vol.88 (6), p.WC13-WC23

2023

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Denoising of distributed acoustic sensing data using supervised deep learning

Geophysics, 2023-01, Vol.88 (1), p.WA91-WA104

2023

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EQCCT: A Production-Ready Earthquake Detection and Phase-Picking Method Using the Compact Convolutional Transformer

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-15

2023

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Real‐Time Earthquake Detection and Magnitude Estimation Using Vision Transformer

Journal of geophysical research. Solid earth, 2022-05, Vol.127 (5), p.n/a

2022

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Deep Learning for P-Wave First-Motion Polarity Determination and Its Application in Focal Mechanism Inversion

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-11

2024

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Deep denoising autoencoder for seismic random noise attenuation

Prototype Implementation of a Digitizer for Earthquake Monitoring System

A fully unsupervised and highly generalized deep learning approach for random noise suppression

Earthquake Detection and P-Wave Arrival Time Picking Using Capsule Neural Network

CapsPhase: Capsule Neural Network for Seismic Phase Classification and Picking

Unsupervised deep learning for 3D interpolation of highly incomplete data

Seismic Data Compression Using Deep Learning

Self-Attention Fully Convolutional DenseNets for Automatic Salt Segmentation

Thousands of Induced Earthquakes per Month in West Texas Detected Using EQCCT

Unsupervised deep learning for single-channel earthquake data denoising and its applications in event detection and fully automatic location

Deep Learning Approach for Earthquake Parameters Classification in Earthquake Early Warning System

Self-Attention Deep Image Prior Network for Unsupervised 3-D Seismic Data Enhancement

Unsupervised 3-D Random Noise Attenuation Using Deep Skip Autoencoder

Salt3DNet: A Self-Supervised Learning Framework for 3-D Salt Segmentation

RFloc3D: A Machine-Learning Method for 3-D Microseismic Source Location Using P- and S-Wave Arrivals

Automatic waveform-based source-location imaging using deep learning extracted microseismic signals

High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism

An Unsplit CFS-PML Scheme for the Second-Order Wave Equation With Its Application in Fractional Viscoacoustic Simulation

Statistics-Guided Residual Dictionary Learning for Footprint Noise Removal

Deep Learning Peak Ground Acceleration Prediction Using Single-Station Waveforms

Enhancing earthquake detection from distributed acoustic sensing data by coherency measure and moving-rank-reduction filtering

Denoising of distributed acoustic sensing data using supervised deep learning

EQCCT: A Production-Ready Earthquake Detection and Phase-Picking Method Using the Compact Convolutional Transformer

Real‐Time Earthquake Detection and Magnitude Estimation Using Vision Transformer

Deep Learning for P-Wave First-Motion Polarity Determination and Its Application in Focal Mechanism Inversion

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