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Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2019) Материалы XXII Международной научной конференции
Российский университет дружбы народов (РУДН), 2019.
Chapters
Kochetkov D., Садеков Н. Х., В кн.: Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2019) Материалы XXII Международной научной конференции.: Российский университет дружбы народов (РУДН), 2019.
Статья раскрывает теоретическую модель информации как экономического ресурса. Акцент делается на роли информации в общественной эволюции, становлении информационного общества в России в контексте мировых трендов. Авторы анализируют сложности, с которыми сталкивается наша страна в этом процессе. Рассматривая перспективы, авторы делают акцент на информационной культуре и формировании соответствующих ценностей. ...
Added: December 25, 2019
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
Panarina M., Законодательство 2026 № 5 С. 16–23
Автор рассматривает актуальные проблемы регулирования оборота цифровых активов в Российской Федерации, обращает внимание на причины значительных ограничений в сфере судебной защиты прав владельцев цифровых активов, отмечает правовые коллизии и пробелы. По ее мнению, лишь дальнейшее развитие законодательства позволит более четко определить и регламентировать использование цифровых активов в соответствии с требованиями оборота, а также обеспечить защиту ...
Added: May 14, 2026
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
Мулина А. А., В кн.: Балканские войны 1912–1913 гг.: далекие предпосылки и долгое эхо.: М.: Институт славяноведения РАН, 2024. С. 287–297.
В данной статье рассматривается вопрос отражения событий 1912–1913 гг. в национальных СМИ Сербии в 2012–2013 и 2022–2023 гг. Опираясь на «большие данные», полученные из сервиса Google, а также на материалы качественной газеты «Политика», автор анализирует особенности освещения эпизодов Балканских войн, а также запросы пользователей интернета на территории Сербии по темам, связанным с событиями 1912–1913 гг. ...
Added: April 21, 2026
Мулина А. А., Якова Т. С., Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика 2025 Т. 30 № 1 С. 161–171
The article presents the results of a study of the information space of the Balkan states conducted during the presidential elections in Turkey (2023): the authors referred to this period as one of the most striking political events in the country over the past five years. The purpose of the proposed work is to identify ...
Added: April 21, 2026
Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: April 20, 2026
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
Лескина Э. И., Законодательство 2026 № 2 С. 22–29
One of the hallmarks of big data is its value, which stems from the essence of the current stage of societal development and the importance of information and data. However, without legal support for the economic nature of data, realizing its inherent potential becomes impossible. Currently, the existing legal framework for utilizing this asset in ...
Added: April 13, 2026
Lyutova O. I., Горбунова М. А., Вопросы государственного и муниципального управления 2026 № 1 С. 35–57
Использование больших данных в налоговом администрировании переходит от внедрения отдельных цифровых технологий к этапу качественной аналитики с использованием алгоритмов автоматического анализа значительных по объему массивов информации из различных источников, что порождает ряд системных вызовов. Задача исследования – выяснить и проанализировать состояние трансформации налогового администрирования, осуществляемой посредством внедрения и использования цифровых инструментов, главным образом – технологий ...
Added: April 7, 2026
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
Лескина Э. И., Вестник Воронежского государственного университета. Серия: Право 2025 № 4(63) С. 157–165
The speed of development and distribution of digital technologies increases every year, as do the areas of their application. Artificial intelligence systems solve creative problems, predictive analytics are used in law enforcement agencies, and such areas as healthcare, transport, education and many other areas do not go unnoticed. At the same time, part of public ...
Added: April 1, 2026
Balayan A. A., Томин Л. В., Публичная политика 2023 Т. 7 № 1-2 С. 108–117
The paper is devoted to the study of certain aspects of the digitalization of public administration in autocracies, primarily government platforms and digital services. The analysis of the political effects of government platforms and services is carried out in the broader context of the study of new cybernetic mode of governance that complement/transform the disciplinary ...
Added: March 31, 2026
Анташева Мария Сергеевна, Вестник Российского университета дружбы народов. Серия: Всеобщая история 2026 Т. 18 № 1 С. 44–58
The perception of key leaders in Indian modern history and its transformation within the contemporary political landscape constitutes a significant element of the political struggle between the country’s two major parties — the Indian National Congress (INC) and the Bharatiya Janata Party (BJP). Since coming to power, the BJP has consistently pursued a strategy of ...
Added: March 19, 2026
Smirnov A., Мониторинг общественного мнения: Экономические и социальные перемены 2021 № 1 С. 129–153
The article considers a theoretical model of digital society based on four concepts: super-connectivity, platformisation, datafication, and algorithmic governance. The model describes how the digitalisation of society deepens: from the transfer of individual practices and social interactions to a new social order based on big data. Analysis of panel data from the 2003–2018 longitudinal survey ...
Added: March 18, 2026
Smirnov A., Экономика региона 2022 Т. 18 № 1 С. 133–145
The nature and intensity of migration processes are constantly changing. Demographic statistics are not suitable for obtaining up-to-date information and making timely decisions in the field of demographic and social policy. Thus, digital demography is becoming increasingly important, as this area of population research uses new methods and data sources resulting from the Internet expansion ...
Added: March 18, 2026
Kelbert M., Сухов Ю. М., М.: МЦНМО, 2025.
Для освоения таких разделов прикладной математики, как теория вероятностей, математическая статистика, теория информации и кодирование,
тренировка в решении задач и выработка интуиции важны не меньше, чем
изучение доказательств теорем; большое разнообразие задач по этому предмету затрудняет студентам переход от лекций к экзаменационным задачам,
а от них—к практике.
Этот том включает стандартный пакет информационно-теоретического материала, обычно читаемого на факультетах информатики ...
Added: February 9, 2026
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
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
Лескина Э. И., Вестник Воронежского государственного университета. Серия: Право 2025 № 3 С. 64–71
The national project "Data Economy" aimed at digital transformation of various spheres is the next step to ensure scientific and technological sovereignty in the Russian Federation, while the key point for the implementation of numerous areas, federal projects, and activities within the national project is to improve the quality of both data and their sets, ...
Added: December 7, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
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
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
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
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
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
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