Near-surface velocity estimation using shear-waves and deep-learning with a U-net trained on synthetic data-Reference-Cited by-同舟云学术

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Near-surface velocity estimation using shear-waves and deep-learning with a U-net trained on synthetic data

Published:2022-12 Issue: Volume:3 Page:209-224
ISSN:2666-5441
Container-title:Artificial Intelligence in Geosciences
language:en
Short-container-title:Artificial Intelligence in Geosciences

Author:

Gupta Taneesh,Zwartjes Paul^ORCID,Bamba Udbhav,Ghosal Koustav,Gupta Deepak K.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Control and Systems Engineering

Reference45 articles.

1. Automated Facies Prediction in Pro-glacial Channel System Using Deep Learning;Alsinan,2021

2. Deep-learning tomography;Araya-Polo;Lead. Edge,2018

3. Machine learning approaches for use in deblending;Baardman;Lead. Edge,2020

4. Recent advances in adversarial training for adversarial robustness: proceedings of the thirtieth international joint conference on artificial intelligence;Bai;IJCAI-,2021

5. Deep Auto-Associative Neural Networks for Noise Reduction in Seismic Data;Bhowmick,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An UltraMNIST classification benchmark to train CNNs for very large images;Scientific Data;2024-07-12

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