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Articles

Optimised multivariate Gaussians for probabilistic subsurface characterisation

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Pages 303-312 | Received 06 Dec 2018, Accepted 01 Sep 2019, Published online: 07 Oct 2019

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Yu Wang, Chao Shi & Xu Li. (2022) Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:1, pages 2-20.
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Jiabao Xu, Lulu Zhang, Jinhui Li, Zijun Cao, Haoqing Yang & Xiangyu Chen. (2021) Probabilistic estimation of variogram parameters of geotechnical properties with a trend based on Bayesian inference using Markov chain Monte Carlo simulation. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 15:2, pages 83-97.
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Kok-Kwang Phoon & C. Hsein Juang. (2019) Georisk special issue in Honour and Memory of Professor Tien H. Wu. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 13:4, pages 237-241.
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Articles from other publishers (2)

Ressol R. Shakir & Hui Wang. (2023) Estimation of probabilistic CPT-based soil profile using an unsupervised Gaussian mixture model. Arabian Journal of Geosciences 16:3.
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Keyumars Anvari, Amin Mousavi, Ahmad Reza Sayadi, Ewan Sellers & Ebrahim F. Salmi. (2022) Automatic detection of rock boundaries using a hybrid recurrence quantification analysis and machine learning techniques. Bulletin of Engineering Geology and the Environment 81:10.
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