City Research Online

Items where Subject is "QE Geology"

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Number of items at this level: 7.

C

Chow, B. H. Y. & Reyes Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2021). Automatic Gemstone Classification Using Computer Vision. Minerals, 12(1), doi: 10.3390/min12010060

I

Ivanik, O., Fonseca, J. ORCID: 0000-0002-7654-6005, Shabatura, O. , Khomenko, R., Hadiatska, K. & Kravchenko, D. (2022). An integrated approach for landslide hazard assessment: A case study of the Middle Dnieper Basin, Ukraine. Journal of Water and Land Development, 52(I-III), pp. 81-86. doi: 10.24425/jwld.2021.139947

J

Jessett, C. A. (1992). Investigation of the liquefaction of a soil profile using in situ tests. (Unpublished Doctoral thesis, City, University of London)

K

Kharlamov, E., Skjaeveland, M., Hovland, D. , Mailis, T., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Xiao, G., Soylu, A., Horrocks, I. & Waaler, A. (2018). Finding Data Should be Easier than Finding Oil. In: 2018 IEEE International Conference on Big Data (Big Data). . UNSPECIFIED. ISBN 978-1-5386-5035-6

L

Le, B. T., Nguyen, T. T. T., Divall, S. ORCID: 0000-0001-9212-5115 & Davies, M. C. R. (2022). A study on large volume losses induced by EBPM tunnelling in sandy soils. Tunnelling and Underground Space Technology,

N

Nadimi, S. & Fonseca, J. (2017). A micro finite element model for soil behaviour: Numerical validation. Géotechnique, doi: 10.1680/jgeot.16.P.163

Nadimi, S. & Fonseca, J. (2017). A micro finite-element model for soil behaviour. Géotechnique, 68(4), pp. 290-302. doi: 10.1680/jgeot.16.P.147

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