Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

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Main Authors: Yu Wang, Borui Lyu, Chao Shi, Yue Hu
Other Authors: CIVIL AND ENVIRONMENTAL ENGINEERING
Format: Article
Published: Taylor & Francis 2024
Online Access:https://scholarbank.nus.edu.sg/handle/10635/247950
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2479502024-04-17T02:25:18Z Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks Yu Wang Borui Lyu Chao Shi Yue Hu CIVIL AND ENVIRONMENTAL ENGINEERING Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 18 1 60-84 2024-04-17T02:25:17Z 2024-04-17T02:25:17Z 2023-06-13 Article Yu Wang, Borui Lyu, Chao Shi, Yue Hu (2023-06-13). Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 18 (1) : 60-84. ScholarBank@NUS Repository. 1749-9518 https://scholarbank.nus.edu.sg/handle/10635/247950 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
author2 CIVIL AND ENVIRONMENTAL ENGINEERING
author_facet CIVIL AND ENVIRONMENTAL ENGINEERING
Yu Wang
Borui Lyu
Chao Shi
Yue Hu
format Article
author Yu Wang
Borui Lyu
Chao Shi
Yue Hu
spellingShingle Yu Wang
Borui Lyu
Chao Shi
Yue Hu
Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks
author_sort Yu Wang
title Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks
title_short Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks
title_full Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks
title_fullStr Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks
title_full_unstemmed Non-parametric Simulation of Random Field Samples from Incomplete Measurements using Generative Adversarial Networks
title_sort non-parametric simulation of random field samples from incomplete measurements using generative adversarial networks
publisher Taylor & Francis
publishDate 2024
url https://scholarbank.nus.edu.sg/handle/10635/247950
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