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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Математическое моделирование в прогнозируемых системах

Вып. 15. M. : Горная книга, 2017.
Under the general editorship: Vnukov A.
Chapters
Исследование эффективности параллельных многопоточных реализаций интерполяционных методов для масштабирования растровых изображений
Vnukov A., Шершнев М. Б., В кн.: Математическое моделирование в прогнозируемых системахВып. 15.: М.: Горная книга, 2017. Гл. 6 С. 40–48.
The aim of this work is the software implementation of three image scaling algorithms using parallel computations, and the development of an application with a graphical user interface for the Windows operating system to demonstrate the operation of algorithms and to study the relationship between system performance, algorithm execution time and the degree of parallelization ...
Added: August 22, 2017
Информационная система наблюдения за состоянием гостиничного комплекса в режиме реального времени с применением игрового метода моделирования и прогнозом развития
Vnukov A., Кашеваров А. А., В кн.: Математическое моделирование в прогнозируемых системахВып. 15.: М.: Горная книга, 2017. Гл. 7 С. 49–55.
The purpose of this work is the development of a core and a module for working with strategies for planning the development of a hotel complex. In the future these ready-made materials are suitable for creating a simulation system that can greatly simplify and accelerate the management and development of hotels of different levels. Also, ...
Added: August 22, 2017
Кредитный скоринг на основе нейронных сетей
Vnukov A., Джанджгава Р. Т., В кн.: Математическое моделирование в прогнозируемых системахВып. 15.: М.: Горная книга, 2017. Гл. 8 С. 56–62.
In this work, predictive scoring model for banks that estimates the data of the borrower and predicts the probabilityof a credit default by client. The goal of the work is to develop and implement a model of credit scoring using neural networks. The model will predict the solvency of bank customers. In the process of ...
Added: August 22, 2017
Распознавание и идентификация лиц на документах
Vnukov A., Райтер М. И., В кн.: Математическое моделирование в прогнозируемых системахВып. 15.: М.: Горная книга, 2017. Гл. 9 С. 63–69.
In this study, the possibility of identifying a person according to the main characteristic features is considered. The goal of the work is to realize the knowledge gained about existing algorithms for creating software that recognizes and identifies the person on the image. In the course of the work, the existing algorithms of face recognition ...
Added: August 22, 2017
Разработка системы имитационного моделирования управления предприятием
Vnukov A., Panov D., В кн.: Математическое моделирование в прогнозируемых системахВып. 15.: М.: Горная книга, 2017. Гл. 1 С. 3–9.
The subject of the research is developing of simulation system of enterprise management. The aim of this work is development of enterprise management model and the following realization of software, which allows user to simulate possible ways of enterprise development in the long run. Interface and functional part of the marketing subsystem were designed with ...
Added: August 23, 2017
Метод математического и имитационного моделирования в прогнозируемых системах управления предприятием с заданной структурой
Vnukov A., Циплаков В. В., В кн.: Математическое моделирование в прогнозируемых системахВып. 15.: М.: Горная книга, 2017. Гл. 4 С. 25–32.
The object of the study is the activity of the enterprise during the long-term period and its management through the simulation system. The purpose of the work is to create the structure of the simulation system and tools for managing the activities of the enterprise. In the course of the work, various management strategies and ...
Added: August 23, 2017
Research target: Computer Science
Priority areas: IT and mathematics
Language: Russian
Text on another site
Keywords: деловые игрымаркетингвременные рядыимитационное моделированиеуправление предприятиемнейронные сетикредитный скорингобработка изображенийавторегрессиямасштабирование изображенийфрактальное броуновское движениепараллельное программированиеавтоковариационная функциямультифрактальностьраспознавание и идентификация лиц
Математическое моделирование в прогнозируемых системах
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EEG evidence for reproducible neural states during Buddhist Highest Yoga Tantra meditation
Mikhaylets E., Razorenova A. М., Chernyshev V. L. et al., Scientific Reports 2026 Vol. 16 Article 23560
Meditation offers a naturalistic paradigm for studying introspection, yet the neural dynamics of advanced tantric practices remain largely unexplored. Buddhist Highest Yoga Tantra (BHYT) comprises a sequence of eight dissolution stages culminating in the “clear light” state. We recorded EEG during eyes-closed BHYT meditation performed in monasteries and hermitages (51 sessions from 36 male practitioners; ...
Added: July 29, 2026
Machine Learning-based Adaptive Reconstruction of Video Stream Fragments Taking into Account Scene Dynamics. Proceedings of the Institute for System Programming of the RAS
Думкин Н. А., Alexandrov D., Прозорский М. А., Труды Института системного программирования РАН 2026 Т. 38 № 1 С. 255–274
A theoretically sound approach to adaptive client-side video fragment restoration is proposed using machine learning and scene analysis methods. The method includes a formal problem statement, a finite-state machine model for decision making, a restoration cost function, and a new stage in video preparation: scene dynamics assessment followed by recording a feature in an HLS playlist. This feature ...
Added: July 27, 2026
Automated Reasoning: 13th International Joint Conference, IJCAR 2026, Lisbon, Portugal, July 26–29, 2026, Proceedings, Part II
Cham: Springer, 2026.
This open access set, LNAI 16688-16689, constitutes the proceedings of the 13th International Joint Conference, IJCAR 2026, held in Lisbon, Portugal, during July 26–29, 2026. The 41 full research papers and 8 short papers included in these two volumes were carefully reviewed and selected from 112 submissions. The papers cover the following topical sections: Part I: Theorem ...
Added: July 26, 2026
Local Fault-Tolerant Routing in 3D Mesh NoCs using Single-Hop Rollback
Edward R. Rzaev, Aleksandr Y. Romanov, Andrey M. Sukhov, IEEE Access 2026 Vol. 14 P. 2169–3536
This work presents a hierarchy of strictly local fault-tolerant routing algorithms for 3D mesh networks-on-chip, culminating in an algorithm that combines a live-neighbor selection rule with a bounded single-hop rollback mechanism. The proposed algorithms operate exclusively on immediate neighbor information, maintain O(1) per hop complexity, and require no global topology knowledge, additional virtual channels, or ...
Added: July 23, 2026
Библиометрия фольклора: русские пословицы в научных журналах
Pislyakov V., Вестник Томского государственного университета. Филология 2026 № 101 С. 175–192
This article examines the use of proverbs in academic texts—specifically, articles published in Russian research journals. For the experiment, ten proverbs were selected as the intersection of two fundamentally different paremiological surveys aimed at compiling lists of popular or common Russian proverbs. One of these surveys was conducted by the classic of paremiology, G.L. Permyakov, ...
Added: July 22, 2026
SIGIR '26: Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval
Association for Computing Machinery (ACM), 2026.
Wominjeka, and welcome to the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026), held in Melbourne | Naarm, Australia, from 20–24 July 2026. SIGIR 2026 takes place on the unceded lands of the Woi Wurrung and Boon Wurrung language groups of the eastern Kulin nation, and we pay our ...
Added: July 22, 2026
Long-range machine-learning potentials with environment-dependent charges enable predicting LO-TO splitting and dielectric constants
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We present two models with explicit long-range electrostatics in the form of Coulomb interactions. Both models include point charges depending on their local atomic environments, and the second model also conserves a total charge of an atomic system. We combine the proposed long-range models with the local moment tensor potential (MTP) and demonstrate that they ...
Added: July 22, 2026
Global optimization of atomic clusters via physically constrained tensor train decomposition
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The global optimization of atomic clusters represents a fundamental challenge in computational chemistry and materials science due to the exponential growth of local minima with system size (i.e., the curse of dimensionality). We introduce a framework that overcomes this limitation by exploiting the low-rank structure of potential energy surfaces through tensor train (TT) decomposition. Our ...
Added: July 22, 2026
WSI-GT: Pseudo-Label Guided Graph Transformer for Whole-Slide Histology
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Added: July 16, 2026
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Added: July 12, 2026
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