-
Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation
Seismic full-waveform inversion (FWI) is a nonlinear computational imagi...
09/03/2020 ∙ by Renán Rojas-Gómez, et al. ∙
0
∙
share
read it
-
EarthquakeGen: Earthquake Simulation Using Generative Adversarial Networks
Detecting earthquake events from seismic time series has proved itself a...
11/10/2019 ∙ by Tiantong Wang, et al. ∙
0
∙
share
read it
-
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 ...
11/04/2019 ∙ by Rafael Pires de Lima, et al. ∙
0
∙
share
read it
-
Deep Learning Approach in Automatic Iceberg - Ship Detection with SAR Remote Sensing Data
Deep Learning is gaining traction with geophysics community to understan...
12/09/2018 ∙ by Cheng Zhan, et al. ∙
0
∙
share
read it
-
Encoded Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery
Fully Convolutional Network (FCN) has been widely used in recent work fo...
10/30/2018 ∙ by Panfeng Li, et al. ∙
0
∙
share
read it
-
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...
01/17/2018 ∙ by Yue Wu, et al. ∙
0
∙
share
read it
-
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...
10/11/2017 ∙ by Youzuo Lin, et al. ∙
0
∙
share
read it
-
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application
Automatic event detection from time series signals has wide applications...
09/12/2017 ∙ by Yue Wu, et al. ∙
0
∙
share
read it
