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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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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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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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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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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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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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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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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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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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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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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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Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation

Surveys in geophysics, 2023-12, Vol.44 (6), p.1919-1952

2023

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Adaptive Damped Rank-Reduction Method for Random Noise Attenuation of Three-Dimensional Seismic Data

Surveys in geophysics, 2023-06, Vol.44 (3), p.847-875

2023

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Robust local slope estimation by deep learning

Geophysical Prospecting, 2022-06, Vol.70 (5), p.847-864

2022

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3-D Seismic Diffraction Separation and Imaging Using the Local Rank-Reduction Method

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-10

2022

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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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The renal clear cell carcinoma immune landscape

Neoplasia (New York, N.Y.), 2022-02, Vol.24 (2), p.145-154

2022

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Accumulation of trace elements in selected fish and shellfish species from the largest natural carp fish breeding basin in Asia: a probabilistic human health risk implication

Environmental science and pollution research international, 2020-10, Vol.27 (30), p.37852-37865

2020

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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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3D Microseismic Monitoring Using Machine Learning

Journal of geophysical research. Solid earth, 2022-03, Vol.127 (3), p.n/a

2022

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Attention-Based Fully Convolutional DenseNet for Earthquake Detection

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-10

2022

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Automatic Arrival Time Detection for Earthquakes Based on Stacked Denoising Autoencoder

IEEE geoscience and remote sensing letters, 2018-11, Vol.15 (11), p.1687-1691

2018

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Discriminating Earthquakes From Quarry Blasts Using Capsule Neural Network

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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EQConvMixer: A Deep Learning Approach for Earthquake Location From Single-Station Waveforms

IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5

2023

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Volltext

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

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

CapsPhase: Capsule Neural Network for Seismic Phase Classification and Picking

Self-Attention Fully Convolutional DenseNets for Automatic Salt Segmentation

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

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

Unsupervised 3-D Random Noise Attenuation Using Deep Skip Autoencoder

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

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

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

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

Deep Learning with Fully Convolutional and Dense Connection Framework for Ground Roll Attenuation

Adaptive Damped Rank-Reduction Method for Random Noise Attenuation of Three-Dimensional Seismic Data

Robust local slope estimation by deep learning

3-D Seismic Diffraction Separation and Imaging Using the Local Rank-Reduction Method

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

The renal clear cell carcinoma immune landscape

Accumulation of trace elements in selected fish and shellfish species from the largest natural carp fish breeding basin in Asia: a probabilistic human health risk implication

Real‐Time Earthquake Detection and Magnitude Estimation Using Vision Transformer

3D Microseismic Monitoring Using Machine Learning

Attention-Based Fully Convolutional DenseNet for Earthquake Detection

Automatic Arrival Time Detection for Earthquakes Based on Stacked Denoising Autoencoder

Discriminating Earthquakes From Quarry Blasts Using Capsule Neural Network

EQConvMixer: A Deep Learning Approach for Earthquake Location From Single-Station Waveforms

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