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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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Автоматизированные системы обеспечения надежности и качества радиоэлектронных средств. Метод. указания к лабораторному практикуму

M. : -, 2015.
Zhadnov V. V.
Research target: Computer Science Electronics and Electrical Engineering Construction Mechanics and Mechanical Engineering Effective Natural Resource Management Mathematics
Priority areas: engineering science
Language: Russian
Sample Chapter
Full text
Keywords: надежностьрадиоэлектронное средствоПК АСОНИКА-Кавтоматизированная система качество
Автоматизированные системы обеспечения надежности и качества радиоэлектронных средств. Метод. указания к лабораторному практикуму
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The recognition-by-components method
Mylnikov L., Slivnitsin P., Engineering Applications of Artificial Intelligence 2026 Vol. 179 Article 115185
The paper describes a applied artificial intelligence task of recognition-by-components method of real objects based on the recognition of a limited set of primitives or components. The recognition-by-components makes it possible to determine the components, that compose an object, and increase the number of recognizable objects without degrading the recognition quality. Training is performed on ...
Added: May 29, 2026
Electrical networks and data analysis in phylogenetics
Gorbounov Vassily, Kazakov A., Data Analytics and Topology 2025 Vol. 1 No. 1 P. 33–45
A classic problem in data analysis is studying the systems of subsets defined by either a similarity or a dissimilarity function on X which is either observed directly or derived from a data set. For an electrical network there are two functions on the set of the nodes defined by the resistance matrix and the response ...
Added: May 28, 2026
Brain-Computer Interfaces for Gait Rehabilitation After Stroke A Scoping Review
Mokienko O., Zisman M. A., Bobrov P. et al., American Journal of Physical Medicine and Rehabilitation 2026 Vol. 105 No. 6 P. 555–563
Brain-computer interfaces (BCIs) represent a promising technology for restoring lower limb motor functions and gait after stroke. The application of BCIs in this field is supported by a limited number of studies. The objective of the review was to systematically and critically evaluate the current evidence on the use of BCIs for lower limb function ...
Added: May 28, 2026
Электростатически управляемый контроль диссипации в двумерном наноэлектромеханическом резонаторе через напряжение-амплитудный антагонизм с рекордной 928% подстройкой добротности.
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Resonators based on nanoelectromechanical systems (NEMS) using two-dimensional (2D) materials with high-quality factors and excellent electrical control are critical for tunable coherent phonon dynamics, resonant sensors and wireless communications. However, their performance is fundamentally limited by the lack of a unified framework governing energy dissipation mechanisms and their electrical tunability. Here, we synergistically modulate both ...
Added: May 28, 2026
ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ И ТЕХНИЧЕСКИЕ СРЕДСТВА УПРАВЛЕНИЯ (ICCT-2024)
М.: Институт проблем управления им. В.А. Трапезникова РАН, 2024.
В сборник вошли материалы VIII Международной научной конференции «Информационные технологии и технические средства управления» (ICCT-2024). На конференции были рассмотрены вопросы, касающиеся перспектив развития научного приборостроения в телекоммуникационных и управляющих системах, биомедицинской информатики, аппаратного и программного обеспечения информационнокоммуникационных систем, надежности, диагностики и неразрушающего контроля, систем управления и автоматизации, цифровых экосистем, управления производством и логистикой, методов математического ...
Added: May 27, 2026
Non-linear in-band interference cancellation on base of conjugate gradients method
Degtyarev A., Bakhurin S., Yudin N., DSPA 2026 P. 1–6
This paper investigates one possible solution to the problem of self-interference cancellation (SIC) arising in the design of in-band full-duplex (IBFD) communication systems. Self-interference cancellation is performed in the digital domain using multilayer nonlinear models adapted via gradient-based optimization. The presence of local minima and saddle points during the adaptation of multilayer models limits the ...
Added: May 26, 2026
28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025)
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Added: May 26, 2026
New Numerical Invariants of an Unfolding of a Polycycle “Tears of the Heart”
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In this paper, new numerical invariants of structurally unstable vector fields in the plane are found. One of the main tools is an improved asymptotics of sparkling saddle connections that occur when a separatrix loop of a hyperbolic saddle breaks. Another main tool is a new topological invariant of two arithmetic progressions, both perturbed and unperturbed, on the ...
Added: May 26, 2026
Comparative Study of Training Methods and Architectures of Echo State Networks
Androsov I., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 3 P. 87–114
This paper examines echo state networks (ESNs), one of the most prevalent approaches to implementing reservoir computing. An ESN consists of a recurrent neural network with fixed (untrained) weights and a readout layer that is typically linear and trainable. This approach enables the creation of energyefficient and computationally efficient neural networks capable of real-time learning. However, since ...
Added: May 26, 2026
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
Zaikin A., Sviridov I., Sosedka A. et al., Technologies 2026 Vol. 14 No. 2 Article 84
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
Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
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
Морозов С. В., Calcolo 2026 Vol. 63 No. 2 Article 23
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
Perovskite nanoparticles Cs4PbBr6 and CsPbBr3: synthesis, analysis and peculiar optical properties
Гущина В. А., / Series chemrxiv-2023-vpzhz-v2 "ChemRxiv". 2023.
All-inorganic perovskite CsPbBr3 and Cs4PbBr6 nanoparticles are being intensively studied due to their unique properties and wide range of applications; however, however, the nature of their optical properties is not yet fully understood due to the difficulty of synthesis of singlephase nanoparticles. In this article we describe the features of the synthesis of single-phase particles ...
Added: May 14, 2026
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
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
Русскоязычная версия Шкалы экотревожности Хогг (HEAS-RU)
Nartova-Bochaver S. K., Stakina Y., Тренина М. Е. et al., Клиническая и специальная психология 2026 Т. 15 № 1 С. 166–181
Context and relevance. Eco-anxiety is the anxiety arising in connection with real and possible natural changes and disasters. Eco-anxiety is a significant destabilizer of human activity and therefore needs to be monitored or intervened, which requires a tool to assess its severity. Objective. The present study is aimed at adapting the Hogg Eco-Anxiety Scale (HEAS) ...
Added: April 18, 2026
Энергоэффективный модульный электродвигатель для тихоходных установок черной металлургии
Курилин С. П., Yasnitsky L., Черные металлы 2025 № 8(1124) С. 81–87
Рассмотрена модернизация электроприводов тихоходных технологических установок черной металлургии: вращающихся печей, конвертеров, обжиговых и агломерационных машин. Целью исследования является повышение КПД и надежности электроприводов установок путем частичной передачи функции редуцирования частоты вращения специальному электродвигателю, а также в ходе реализации модульного принципа построения электродвигателя. Прикладная задача исследования состоит в разработке энергоэффективного модульного электродвигателя для электропривода обжиговой машины ...
Added: February 15, 2026
Computer-aided system for assessing and selecting effective masters' learning trajectory in variability of external factors considering the university industrial partners' opinion
A. V. Vishnekov, E. M. Ivanova, N. Zhursunova, Информатика и образование 2025 Vol. 40 No. 6 P. 39–48
The modern education system development is characterized by many uncertain, dynamically changing factors. The purpose and originality of the study presented in the article is to develop an automated system for building an effective educational trajectory in the conditions of external factors’ uncertainty. The developed system is a tool for assessment and dynamic adjustment of ...
Added: January 16, 2026
Determining the boundary of dynamical chaos in the generalized Chirikov map via machine learning
Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
Адаптация шкалы метапознания из опросника саморегуляции DAACS при участии российских подростков
Akhmedjanova D., Окунола А. О., Психологическая наука и образование 2025 Т. 30 № 5 С. 91–104
Context and relevance. Metacognition is the control over one’s thoughts. There is a lack of a reliable survey measuring metacognition of schoolchildren in Russia. Objective. The goal of this article is to report on the adaption of the metacognition survey on a sample of Russian adolescents. Hypothesis. The adaptation of the metacognition scale from the ...
Added: November 7, 2025
Разработанный подход для проведения аудита на предприятиях для прогнозирования качества радиоэлектронной аппаратуры
Tsvetkov V., Зубрильцев Е. Е., Мешочков Д. М. et al., В кн.: Фундаментальные, поисковые, прикладные исследования и инновационные проекты: сборник трудов IV Национальной научно-практической конференции.: М.: Ассоциация выпускников и сотрудников ВВИА им. проф. Жуковского, 2025. С. 391–395.
В статье рассмотрены методы проведения аудита для оценки качества радиоэлектронной аппаратуры, что критически важно для обеспечения показателей надежности и качества аппаратуры в высокотехнологичных отраслях электроники. Рассмотрены этапы жизненного цикла радиоэлектронной аппаратуры, включая периоды приработки, нормальной эксплуатации и старения, а также проанализировано их влияние на стратегии управления надежностью. Проведен обзор и анализ международных подходов проведения аудита, ...
Added: October 12, 2025
Комплексный подход к оценке надёжности электронных модулей телекоммуникационных систем
Butskiy D., Зубрильцев Е. Е., В кн.: 32 Всероссийская межвузовская научно-техническая конференция студентов, аспирантов и молодых ученых с международным участием "Микроэлектроника и информатика – 2025" (Зеленоград, 24–25 апреля 2025 г.). Тезисы докладов.: М.: МИЭТ, 2025. С. 147–147.
Added: October 12, 2025
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