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Subject
News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Сборник трудов Всероссийской научно-технической конференции «Навигация, наведение и управление летательными аппаратами»

M. : Научтехлитиздат, 2012.
In press

Сборник трудов конференции

Chapters
Имитационная модель процесса регулирования потока воздушного движения назначением слотов вылета
Gabeydulin R., В кн.: Сборник трудов Всероссийской научно-технической конференции «Навигация, наведение и управление летательными аппаратами».: М.: Научтехлитиздат, 2012. С. 246–248.
Одной из задач организации воздушного движения(ВД) является организация потоков ВД (ОПВД) - деятельность, связанная с приведением заявленного пользователями воздушного пространства (гражданские авиакомпании, министерства обороны, летно-исследовательские институты и т.д.) объема ВД и пропускной способностью, обусловленной, в первую очередь, возможностями диспетчеров. Регулирование потоков ВД изменением времени вылета воздушных судов из аэропортов - это лишь одно из решений, ...
Added: November 23, 2015
Research target: Electronics and Electrical Engineering Mathematics Construction Mechanics and Mechanical Engineering Effective Natural Resource Management Computer Science
Priority areas: IT and mathematics business informatics
Language: Russian
Keywords: математическое моделированиеимитационное компьютерное моделированиеуправление воздушным движениемнавигациябортовая спутниковая навигация
Сборник трудов Всероссийской научно-технической конференции «Навигация, наведение и управление летательными аппаратами»
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ADDITIVE AUTOMORPHISMS OF REGULAR MATRIX GRAPH
Gusev I., Maksaev A., Promyslov V., Journal of Mathematical Sciences 2025 Vol. 299 No. 6
The regular graph of the space of n × m matrices over a field F is defined as the undirected graph whose vertices are matrices of rank min(n, m), and distinct matrices A and B are connected by an edge if and only if rk(A + B) < min(n, m). In this paper, for |F| ...
Added: May 25, 2026
Рефакторинг исходного кода на основе LLM и расширения UML
Караваева Е. А., Кулигин Л. А., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 67–94
В статье представлен метод рефакторинга исходного кода на основе интеграции большой языковой модели (LLM) и расширенной UML-модели программного кода. Предложенный подход позволяет выявлять проблемные участки кода с использованием функций тревожности и структурных метрик классов, а затем выполнять автоматизированный рефакторинг. Ключевой особенностью метода является использование LLM для генерации формальных спецификаций на языке OCL (Object Constraint Language), ...
Added: May 24, 2026
Coping with AI errors with provable guarantees
Tyukin I., Tyukina T., van Helden D. P. et al., Information Sciences 2024 Vol. 678 Article 120856
AI errors pose a significant challenge, hindering real-world applications. This work introduces a novel approach to cope with AI errors using weakly supervised error correctors that guarantee a specific level of error reduction. Our correctors have low computational cost and can be used to decide whether to abstain from making an unsafe classification. We provide ...
Added: May 23, 2026
Overcoming the Curse of Dimensionality with Synolitic AI
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High-dimensional tabular data are common in biomedical and clinical research, yet conventional machine learning methods often struggle in such settings due to data scarcity, feature redundancy, and limited generalization. In this study, we systematically evaluate Synolitic Graph Neural Networks (SGNNs), a framework that transforms high-dimensional samples into sample-specific graphs by training ensembles of low-dimensional pairwise ...
Added: May 23, 2026
Stable On-the-Fly Learning for Dynamic Neural Networks With Delayed Inputs
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This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026
Analysis of the alternating minimization method for low-rank canonical polyadic decomposition in the Chebyshev norm
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The approximation of tensors in a low-para metric format is a crucial component in many mathematical modelling and data analysis tasks. Among the widely used low-parametric representations, the canonical polyadic (CP) decomposition is known to be very efficient. Nowadays, most algorithms for CP approximation aim to construct the approximation in the Frobenius norm; however, some ...
Added: May 22, 2026
Опыт применения сетевого анализа (SNA) в историческом нарративе полисубъектного региона (на примере валлийской хроники Brut y Tywysogyon)
Loshkareva M. E., Matveeva N., Вестник Томского государственного университета. История 2026 № 100 С. 112–118
This research is an endeavor to apply social network analysis (SNA) to the study of a medieval narrative source. The authors suppose that the use of network analysis may offer new possibilities in the study of the history of regions characterized by some political fragmentation. Authors tried to construct networks of historical interactions from 1193 ...
Added: May 22, 2026
B-facets in Dimension 4
Селянин Ф. И., Journal of Dynamical and Control Systems 2026 Vol. 32 No. 2 P. 1–16
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Added: May 21, 2026
The VCG Mechanism, the Core, and Assignment Stages in Auctions
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The Vickrey-Clarke-Groves (VCG) mechanism is one of the most compelling constructs in mechanism design, but the presence of complementary goods creates the possibility of non-core and even zero-revenue outcomes. In this article, we show that joint feasibility constraints on allocations offer a second pathway to ill-behaved outcomes in the VCG mechanism, even when all bidders ...
Added: May 20, 2026
Upper bounds for Steklov eigenvalues of a hypersurface of revolution
Denis Seliutskii, Russian Journal of Mathematical Physics 2025 Vol. 32 No. 2 P. 399–407
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Added: May 19, 2026
ML-based Fast Simulation of FARICH Responses
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A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
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Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Rabat: Association for Computational Linguistics, 2026.
Added: May 19, 2026
АНАЛИЗ ИССЛЕДОВАНИЙ, ПОСВЯЩЁННЫХ ИСПОЛЬЗОВАНИЮ СЕНСОРИКИ ДВИЖИТЕЛЕЙ ДЛЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ ТРАНСПОРТНО-ТЕХНОЛОГИЧЕСКИХ СРЕДСТВ
Viacheslav K., Русский инженер 2024 № 3 С. 34–37
Analysis of various methods referred to the increasing energy efficiency and movement safety through the use of control systems which take into account the force factors of interaction of the wheel propeller with the supporting surface. During the analysis of methods dedicated to energy efficiency rise and were used techniques of logical and statistical analysis. There are various ...
Added: May 19, 2026
Dataset of solubility values for organic compounds in binary mixtures of solvents at various temperatures
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Solubility is a crucial property of organic compounds, impacting their potential applications in synthetic chemistry, materials science and drug design. Moreover, in technological processes mixtures of solvents are often utilized, making the solubility assessment more complicated. Predicting solubility values in mixtures of solvents from a molecular structure can help to address this issue, although a ...
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Разработка комплексной математической модели для виртуальных тепловых испытаний электронной аппаратуры
Vinokurov Y., Kofanov Y. N., Sotnikova S., В кн.: Инновационные, информационные и коммуникационные технологии: сборник трудов XXII Международной научно-практической конференции. Москва, 2025.: Ассоциация выпускников и сотрудников ВВИА им. проф. Жуковского, 2025. С. 129–134.
В статье представлены результаты разработки и валидации комплексной математической модели в виде ненаправленного графа для конкретного применения, а именно для проведения виртуальных тепловых испытаний электронной аппаратуры. Предложена структура модели, включающая четыре подмодели: тепловых процессов внутри аппаратуры, взаимодействия с испытательным оборудованием, внешнего температурного воздействия, взаимодействия с оснасткой и с измерительной системой. Описаны методы получения исходных данных ...
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Natural hazard database from Internet publications: text mining with a large language model
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
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We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Using predefined vector systems to speed up neural network multimillion class classification
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Моделирование оценки потенциала изменения тарифов на авиаперевозки на основе составляющих себестоимости
Урюпин И. В., Vlasenko A., Мир транспорта 2024 Т. 22 № 4 (113) С. 94–103
The price of transportation (rate) is one of the key factors in the development of the air transportation system (ATS) of any country, in particular of the Russian Federation. In turn, the formation of the rate directly depends on the cost price of transportation and its components. Forecasting and modelling the cost prices considering the ...
Added: February 24, 2026
Оценка прямых эксплуатационных расходов для перспективных воздушных судов с альтернативными типами силовых установок
Урюпин И. В., Vlasenko A., Экономика и математические методы 2024 Т. 60 № 2 С. 92–104
At present, in an unstable geopolitical situation, one of the most important tasks for the Russian Federation is the creation of advanced domestic aircraft that will not be inferior to its foreign counterparts. The cost of operating is the main criterion in the design of a new aircraft to ensure competitiveness in air transport systems. ...
Added: February 24, 2026
Оценка цены перспективного воздушного судна на основе его летно-технических характеристик
Урюпин И. В., Vlasenko A., Sukharev A., Экономика и математические методы 2025 Т. 61 № 4 С. 73–85
At present development of advanced civil aircraft is one of the key priorities in Russia. To become commercially successful advanced civil aircraft should provide competitive lifecycle costs. Accordingly, it requires balancing operational expenses and consumer-acceptable pricing during an aircraft design phase. However, price evaluation of a prospective aircraft with the analog method or the income ...
Added: February 24, 2026
Цивилизационные коды экономического роста: сравнительная модель и прогноз ВВП
Akaev A., Давыдова О. И., Korotayev A., Философия и общество 2025 № 4(117) С. 5–46
This article presents a comprehensive macroeconomic analysis of countries grouped into civilizational clusters based on a cultural-historical approach. The object of the study is the macroeconomic dynamics of states in the context of civilizational differences, and the subject is the model-based assessment and forecast of GDP growth rates for the period up to 2050. The ...
Added: February 24, 2026
Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Implementing Transport Coding in OMNeT++ for Message Delay Reduction
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer:  original packets are encoded into  coded packets, and the message is reconstructed after the first  successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
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