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ORCIDVladimir Berezovsky
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2020 – today
- 2022
[c8]Vladimir Berezovsky
, Yunfeng Bai, Ivan Sharshov, Roman Aleshko, Kseniya Shoshina, Irina Vasendina:
Orthoimage Super-Resolution via Deep Convolutional Neural Networks. INDIN 2022: 263-268- 2020
- [c7]Yunfeng Bai, Vladimir Berezovsky, Vasily Popov:
Super Resolution for Digital Rock Core Images via FSRCNN. HPCCT/BDAI 2020: 78-81 - [c6]Yunfeng Bai, Vladimir Berezovsky, Jing Guo, Vasily Popov:
Digital Rock Core Image Super-Resolution via Deep Convolutional Neural Networks. IAIT 2020: 25:1-25:10 - [c5]Yunfeng Bai, Vladimir Berezovsky:
Digital Rock Core Images Resolution Enhancement with Improved Super Resolution Convolutional Neural Networks. ICMLC 2020: 401-405
2010 – 2019
- 2019
- [c4]Vladimir Berezovsky, Kirill Butin, Aleksandr Popov, Andrey Rodionov:
Performance and energy efficiency of the analysis of the growing synchrophasor in a high-perfomance computing environment. INDIN 2019: 1205-1210 - [c3]Aleksandr Popov, Kirill Butin, Andrey Rodionov, Vladimir Berezovsky:
Performance and Energy Efficiency of Algorithms Used to Analyze Growing Synchrophasor Measurements. PaCT 2019: 221-231 - [c2]Vladimir Berezovsky, Ivan Belozerov, Yungfeng Bai, Marsel Gubaydullin:
Digital Rock Modeling of a Terrigenous Oil and Gas Reservoirs for Predicting Rock Permeability with Its Fitting Using Machine Learning. RuSCDays 2019: 203-213 - 2018
- [c1]Vladimir Berezovsky, Marsel Gubaydullin, Alexander Yur'ev, Ivan Belozerov:
Examination of Clastic Oil and Gas Reservoir Rock Permeability Modeling by Molecular Dynamics Simulation Using High-Performance Computing. RuSCDays 2018: 208-217 - 2011
- [i1]Vladimir Berezovsky, Alexander Popov:
Strategies for Development of a Distributed Framework for Computational Sciences. CoRR abs/1106.3634 (2011)
Coauthor Index
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