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Articles

Non-parametric modelling and simulation of spatiotemporally varying geo-data

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Pages 77-97 | Received 05 May 2021, Accepted 12 Jul 2021, Published online: 30 Sep 2021

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Read on this site (4)

Peiping Li & Yu Wang. (2023) Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS). Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:3, pages 554-571.
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Marcin Chwała, Kok-Kwang Phoon, Marco Uzielli, Jie Zhang, Limin Zhang & Jianye Ching. (2023) Time capsule for geotechnical risk and reliability. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:3, pages 439-466.
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Yu Wang, Borui Lyu, Chao Shi & Yue Hu. (2023) 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 0:0, pages 1-25.
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Kok-Kwang Phoon, Takayuki Shuku, Jianye Ching & Ikumasa Yoshida. (2022) Benchmark examples for data-driven site characterisation. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:4, pages 599-621.
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Articles from other publishers (2)

Kok-Kwang Phoon. (2023) What Geotechnical Engineers Want to Know about Reliability. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9:2.
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Zheng Guan & Yu Wang. (2022) SPT-based probabilistic evaluation of soil liquefaction potential considering design life of civil infrastructures. Computers and Geotechnics 148, pages 104807.
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