Other namesSemen Budenny, Semeon Budennyy, Semyon Budennyy
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Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai
SA Budennyy, VD Lazarev, NN Zakharenko, AN Korovin, OA Plosskaya, ...
Doklady Mathematics 106 (Suppl 1), S118-S128, 2022
Image processing and machine learning approaches for petrographic thin section analysis
S Budennyy, A Pachezhertsev, A Bukharev, A Erofeev, D Mitrushkin, ...
SPE Russian Petroleum Technology Conference?, D023S014R005, 2017
Atomic structure and energy spectrum of Ga (As, P)/GaP heterostructures
DS Abramkin, MA Putyato, SA Budennyy, AK Gutakovskii, BR Semyagin, ...
Journal of Applied Physics 112 (8), 2012
Semi-analytical models for calculating well interference: limitations and applications (Russian)
IF Khatmullin, AP Tsanda, AM Andrianova, SA Budenny, AS Margarit, ...
Oil Industry Journal 2018 (12), 38-41, 2018
The task of instance segmentation of mineral grains in digital images of rock samples (thin sections)
A Bukharev, S Budennyy, O Lokhanova, B Belozerov, E Zhukovskaya
2018 International Conference on Artificial Intelligence Applications and …, 2018
Application of machine learning for oilfield data quality improvement
A Andrianova, M Simonov, D Perets, A Margarit, D Serebryakova, ...
SPE Russian Petroleum Technology Conference?, D023S029R005, 2018
Optimization of multi-stage hydraulic fracturing design in conditions of Bazhenov formation (Russian)
AV Bochkarev, SA Budennyy, RN Nikitin, DA Mitrushkin, AA Erofeev, ...
Oil Industry Journal 2017 (03), 50-53, 2017
A new approach to clastic rocks pore-scale topology reconstruction based on automatic thin-section images and CT scans analysis
V Krutko, B Belozerov, S Budennyy, E Sadikhov, O Kuzmina, D Orlov, ...
SPE Annual Technical Conference and Exhibition?, D021S020R005, 2019
Anomaly detection in electroluminescence images of heterojunction solar cells
A Korovin, A Vasilev, F Egorov, D Saykin, E Terukov, I Shakhray, ...
Solar Energy 259, 130-136, 2023
Well logging verification using machine learning algorithms
A Tsanda, A Bukharev, S Budennyy, A Andrianova
2018 International Conference on Artificial Intelligence Applications and …, 2018
Automatic analysis of petrographic thin section images of sandstone
AY Bukharev, SA Budennyy, AA Pachezhertsev, BV Belozerov, EA Zhuk
ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018
Efficiency analysis of ESP lifted wells in the context of virtual flow metering
I Krylov, S Budennyy, R Khabibullin, A Loginov, A Andrianova, O Kobzar, ...
SPE Russian Petroleum Technology Conference?, D013S004R002, 2019
Pseudo-3D hydraulic fracture model with complex mechanism of proppant transport and tip screen out
A Bochkarev, S Budennyy, R Nikitin, D Mitrushkin
ECMOR XV-15th European Conference on the Mathematics of Oil Recovery, cp-494 …, 2016
Data-driven stochastic AC-OPF using Gaussian process regression
M Mitrovic, A Lukashevich, P Vorobev, V Terzija, S Budennyy, Y Maximov, ...
International Journal of Electrical Power & Energy Systems 152, 109249, 2023
Gp cc-opf: Gaussian process based optimization tool for chance-constrained optimal power flow
M Mitrovic, O Kundacina, A Lukashevich, S Budennyy, P Vorobev, ...
Software Impacts 16, 100489, 2023
An enhanced pseudo-3D model of hydraulic fracture in multi-layered formation
S Budennyy
SPE Annual Technical Conference and Exhibition?, D023S099R003, 2017
Boosting heterogeneous catalyst discovery by structurally constrained deep learning models
AN Korovin, IS Humonen, AI Samtsevich, RA Eremin, AI Vasilev, ...
Materials Today Chemistry 30, 101541, 2023
Hybrid dft/data-driven approach for searching for new quasicrystal approximants in sc-x (x= rh, pd, ir, pt) systems
RA Eremin, IS Humonen, PN Zolotarev, IV Medrish, LE Zhukov, ...
Crystal Growth & Design 22 (7), 4570-4581, 2022
New drugs and stock market: a machine learning framework for predicting pharma market reaction to clinical trial announcements
S Budennyy, A Kazakov, E Kovtun, L Zhukov
Scientific Reports 13 (1), 12817, 2023
Новые подходы в анализе геолого-геофизической информации на основе методов машинного обучения
СА Буденный, НА Волков, А Цанда, АЮ Бухарев, АС Маргарит, ...
Автоматизация в промышленности, 67-72, 2018
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