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Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation
Seismic full-waveform inversion (FWI) is a nonlinear computational imagi...
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EarthquakeGen: Earthquake Simulation Using Generative Adversarial Networks
Detecting earthquake events from seismic time series has proved itself a...
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Forecasting Megaelectron-Volt Electrons inside Earth's Outer Radiation Belt: PreMevE 2.0 Based on Supervised Machine Learning Algorithms
Here we present the recent progress in upgrading a predictive model for ...
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Deep Learning Approach in Automatic Iceberg - Ship Detection with SAR Remote Sensing Data
Deep Learning is gaining traction with geophysics community to understan...
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Encoded Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery
Fully Convolutional Network (FCN) has been widely used in recent work fo...
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Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic Events
One of the risks of large-scale geologic carbon sequestration is the pot...
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Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm
Conventional seismic techniques for detecting the subsurface geologic fe...
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Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application
Automatic event detection from time series signals has wide applications...
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