Items where NERC Author is "Christodoulou, Vyron"
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2022
Hall, Alexander; Gillespie, Martin; Everett, Paul; Christodoulou, Vyron; Walsh, Jo. 2022 Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity? Quarterly Journal of Engineering Geology and Hydrogeology, 55 (1), qjegh2020-183. https://doi.org/10.1144/qjegh2020-183
2021
Tierz Lopez, Pablo; Christodoulou, Vyron; Stevenson, John A.; Loughlin, Susan. 2021 PyVOLCANS: a Python package to flexibly explore similarities and differences between volcanic systems. Journal of Open Source Software, 6 (68), 3649. https://doi.org/10.21105/joss.03649
Newell, Andrew J.; Woods, Mark A.; Graham, Romaine L.; Christodoulou, Vyron. 2021 Derivation of lithofacies from geophysical logs : a review of methods from manual picking to machine learning. Nottingham, UK, British Geological Survey, 43pp. (OR/21/006) (Unpublished)
2020
Marangio, Paolo; Christodoulou, Vyron; Filguera, Rosa; Rogers, Hannah F.; Beggan, Ciaran. 2020 Automatic detection of Ionospheric Alfvén Resonances in magnetic spectrograms using U-net. Computers and Geosciences, 145, 104598. https://doi.org/10.1016/j.cageo.2020.104598
2019
Alzayer, Z.B.; Fellgett, M.W.; Christodoulou, Z.; Williams, C.; Walsh, J.; Kingdon, A. 
ORCID: https://orcid.org/0000-0003-4979-588X; Hier-Majumder, S. ORCID: https://orcid.org/0000-0002-2629-1729.
2019
Digital rock physics analysis of core integrity using deep neural networks and computer vision: MR23C-0124.
[Other]
In: AGU Fall Meeting 2019, San Francisco, Ca, USA, 9-13 Dec 2019.
San Francisco, USA, American Geophysical Union.
Christodoulou, Vyron; Filgueira, Rosa; Bee, Emma; MacDonald, Elizabeth; Kosar, Burcu. 2019 Automatic classification of Aurora-related tweets using machine learning methods. In: ICGDA 2019 2nd International Conference on Geoinformatics and Data Analysis, Prague, Czech Republic, 15-17 March 2019. ACM, 115-119.
Novellino, A.; Terrington, R.; Christodoulou, V.; Smith, H.; Bateson, L.. 2019 Ground motion and stratum thickness comparison in Tower Hamlets, London. Nottingham, UK, British Geological Survey, 31pp. (OR/19/043) (Unpublished)