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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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Средства управления нормативно-справочной информацией CASE-системы METAS: Рекламно-техническое описание

Объединенный фонд электронных ресурсов «Наука и образование» , 2008.
Лукиных Н. В., Lyadova L. N.
Priority areas: IT and mathematics business informatics
Language: Russian
Full text
Text on another site
Keywords: CASE-технологияметаданныеклассификаторыгенерация пользовательского интерфейса
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ML-based Fast Simulation of FARICH Responses
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
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, ...
Added: May 19, 2026
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
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
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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
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
Классификации и классификаторы в науке и аналитике
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This consultation is devoted to two closely interrelated issues: the first part examines the logical and methodological foundations of the classification approach in analytics, the second part applies this approach to the analytics itself as an object of classification, considers its types and types. ...
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Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
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
Эффективный алгоритм торговли на фондовом рынке: ретроспективный анализ, основанный на данных по S&P-500.
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Diffusion on language model embeddings for protein sequence generation
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Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
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Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
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Storchevoy M., Mylnikov L., Чернышев В. В. et al., / SSRN. Серия "Working Papers". 2025.
Внимание к охране природы принимает все большую значимость для бизнеса с одной стороны в связи с ужесточением в природоохранном законодательстве, а с другой в связи с использованием ESG рейтингов при принятии решений о коммерческой деятельности компаний. Составление рейтинга LLM систем, способных оказывать консультационные услуги в области природоохраны и ESG, позволяет осуществить выбор такой системы для ...
Added: September 18, 2025
On the construction of frieze patterns from partitions of convex polygons by nonintersecting diagonals
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.
We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon by not intersecting diagonals. ...
Added: September 17, 2025
Вопросы реализации машинного перевода текстов деловой коммуникации для языковой пары «русский язык - английский язык»
Новикова А. В., Mylnikov L., Научно-техническая информация. Серия 2: Информационные процессы и системы 2017 Т. 15 № 9 С. 26–36
В статье рассмотрены практические аспекты, связанные с проблемой искажения смыслов при переводе с одного языка общения на другой с использованием существующих систем машинного перевода и лежащего в их основе подхода, основанного на пословномпереводе, на примере текстов деловой коммуникации. Следуя основному положению теории «смысл-текст» применительно к машинному переводу о том, что переход от смыслов к текстам и обратно осуществляется за счет моделирования языковых познаний говорящих, лежащих в основе актов речевого общения, авторы предлагают комплексный функциональный метод ...
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The features of the UML 2 standard in modeling business processes and developing of distributed information systems based on the RUP technology using various CASE tools, in particular, Enterprise Architect (Sparx Systems), are considered. Modern DBMS (Oracle), multi-agent systems (JADE), web services and business process management technologies (ActiveBPEL), group work systems (Microsoft SharePoint) are described. Attention ...
Added: November 1, 2022
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Bessonov V. A., Вопросы статистики 2021 Т. 28 № 4 С. 5–22
The article discusses two groups of problems in Russian statistics that still have no viable solutions. The first one - the state of the statistics interface – is the set of channels through which users obtain statistical information. The second – metadata status – is the information on how the indicators are constructed. The ...
Added: September 14, 2021
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Safonova M., Safonov A. A., Высшее образование в России 2021 № 2 С. 144–153
Abstract.  Retaining its unifying function in creating academic texts, academic writing is undergoing various changes brought about by digitisation. The key trends are related to three aspects of academic writing: formal bibliometrics, principles of collaboration, and interaction with the readers. The first trend concerns the growing importance of identifiers, citation standards, key words and other ...
Added: December 12, 2020
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This article concentrates on two recent judgments issued by the European Court of Human Rights (ECHR) Chambers, on Centrum för Rättvisa v. Sweden and Big Brother Watch and Others v. the United Kingdom, which expressly acknowledged that mass surveillance per se does not violate the Convention on the Protection of Human Rights and Fundamental Freedoms. These judgments have been recently referred to ...
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В данной статье представляется описание и анализ некоторых продуктов компании «Oracle», применяемых в ИТ-инфраструктуре предприятий крупного бизнеса. Рассматриваются следующие программные средства: Oracle Siebel SRM, Oracle BI, Oracle VM Server. ...
Added: January 20, 2019
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