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Subject
News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
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.

 

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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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Added: August 8, 2026
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Joint Proceedings of the ESWC 2025 Workshops and Tutorials co-located with 22nd Extended Semantic Web Conference (ESWC 2025), Portorož, Slovenia, June 1-2, 2025.
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Mathematical methods of reinforcement learning
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In this work, we investigate the application of Barnes–Wall lattices in post-quantum cryptographic schemes. We survey and analyze several constructions of Barnes–Wall lattices, including subgroup chains, the generalized k-ing construction, and connections with Reed-Muller codes, highlighting their equivalence over both Z[i] and Z. Building on these structural insights, we introduce a new algorithm for efficient ...
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A well-studied class of algorithmic problems is that of regular realizability: checking the non-emptiness of the intersection of a regular language with a given language. This problem has a natural algebraic interpretation: verifying whether an element of a Boolean algebra belongs to the kernel of a certain homomorphism. This motivates the consideration of an analogous ...
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