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News
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Сборник трудов конференции "Информационные Технологии и Системы (ИТиС) 2015"

ИППИ РАН, 2015.
Chapters
Аналитическая модель передачи QoS-данных с помощью периодических резервирований и Stop-and-Wait ARQ
Ivanov A., Khorov E., Занкин В. П., В кн.: Сборник трудов конференции "Информационные Технологии и Системы (ИТиС) 2015".: ИППИ РАН, 2015.
Большинство технологий беспроводной связи (например Wi-Fi) позволяют станциям сети заранее зарезервировать канал для передачи своих данных. В частности, широко распространен подход периодических резервирований, когда станция резервирует последовательность периодических интервалов времени одинаковой длительности. Резервирование канала обеспечивает защиту от коллизий, а потому целесообразно при передаче данных, требовательных к качеству обслуживания. Однако ошибки могут возникать вследствие случайных помех, ...
Added: January 29, 2018
Аналитическая модель передачи CBR-потока в сетях Wi-Fi Mesh с помощью механизмов MCCA и EDCA
Ivanov A., Khorov E., Соломатин И. С., В кн.: Сборник трудов конференции "Информационные Технологии и Системы (ИТиС) 2015".: ИППИ РАН, 2015.
Механизм MCCA детерминированного доступа к среде, описанный в стандарте IEEE 802.11s сетей Wi-Fi Mesh, может успешно использоваться в таких сетях для передачи данных с высокими требованиями к качеству обслуживания. Этот механизм позволяет любой станции сети Wi-Fi Mesh зарезервировать последовательность периодических интервалов времени, называемых MCCAOP, в течение которых только эта станция имеет право передавать, а станции ...
Added: January 29, 2018
Аналитическая модель многоадресной передачи CBR-потока механизмом MCCA в условиях помех
Ivanov A., Khorov E., Кузнецов Е. С., В кн.: Сборник трудов конференции "Информационные Технологии и Системы (ИТиС) 2015".: ИППИ РАН, 2015.
Механизм детерминированного доступа MCCA, описанный в стандарте IEEE 802.11 сетей Wi-Fi, позволяет станциям резервировать интервалы времени для передачи данных. Защита от коллизий и эффекта скрытых станций, обеспечиваемая детерминированным доступом, позволяет использовать MCCA для передачи данных с заданными требованиями к качеству обслуживания. В случае, когда такие данные требуется передать сразу нескольким получателям, MCCA для экономии канальных ...
Added: January 29, 2018
Research target: Computer Science Mathematics
Language: Russian
Text on another site
Keywords: анализ данныхкодированиепротоколы передачи данныхбиоинформатикакодысетевые протоколылинейные кодытелекоммуникационные протоколыпротоколы
Сборник трудов конференции "Информационные Технологии и Системы (ИТиС) 2015"
Similar publications
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
Influence of the Normal Magnetic Component to Magnetotail Current Sheet Forma
Domrin V. I., Malova H. V., V. Yu. Popov et al., Cosmic Research 2026 Vol. 64 No. 2 P. 238–252
During magnetospheric perturbations a relatively thin current sheet with thickness about several proton gyroradii forms in the Earth’s magnetotail. In a framework of the kinetic model describing current sheet thinning in the magnetotail, the processes of its formation are investigated depending on the normal magnetic field magnitude which affects both the current sheet structure and particle dynamics within ...
Added: April 27, 2026
Asymmetric Equilibrium Structures of Superthin Current Sheets: The Asymmetry of Plasma Sources
Tsareva O. O., Malova H. V., V. Yu. Popov et al., Plasma Physics Reports 2026 Vol. 52 No. 2 P. 179–185
The influence of asymmetry of plasma sources on the structure and spatial localization of a superthin current sheet (STCS) supported by demagnetized electrons is studied using a self-consistent model. The simulation takes into account the presence of a single plasma source in the northern hemisphere, which makes the plasma flow asymmetric. It is demonstrated that the asymmetry of ...
Added: April 27, 2026
On Suspension Equivalent Homeomorphisms
Pochinka O., Yakovlev E., Shmukler V., Russian Journal of Nonlinear Dynamics 2026
Every discrete dynamical system (cascade) generated by a homeomorphism induces a continuous dynamic system (flow) — a suspension. However, not every flow is equivalent to a suspension over a cascade, a necessary and sufficient condition for this is the existence of a global section for the flow. In the case of the existence, the flow is equivalent to ...
Added: April 24, 2026
WWW '26: The ACM Web Conference 2026
NY: Association for Computing Machinery (ACM), 2026.
It is our great pleasure to welcome you to the 35th edition of the Web Conference to be held on June 29 – July 3, 2026, in Dubai, United Arab Emirates. Following discussions with our partners and key stakeholders, we have taken the decision to postpone the ACM Web Conference 2026, initially planned for April 2026. ...
Added: April 23, 2026
Blobbed topological recursion and KP integrability
Kazaryan M., Dunin-Barkowski P., Bychkov B. et al., Selecta Mathematica, New Series 2026 Vol. 32 Article 25
We revise the notion of the blobbed topological recursion by extending it to the setting of generalized topological recursion as well as allowing blobs which do not necessarily admit topological expansion. We show that the so-called non-perturbative differentials form a special case of this revisited version of blobbed topological recursion. Furthermore, we prove the KP ...
Added: April 23, 2026
The universal gl-weight system and the chromatic polynomial
Kazaryan M., Lando S., Kodaneva N., Journal of Geometry and Physics 2026 No. 225 Article 105841
Weight systems associated to the Lie algebras 𝔤𝔩(N) for N = 1,2,... can be unified into auniversal one. The construction is based on an extension of the 𝔤𝔩(N) weight systems to permutations. This universal weight system takes values in the algebra of polynomials C[N;C1,C2,...] in infinitely many variables. We show that under the substitution Cm ...
Added: April 23, 2026
Разработка микросервиса ADP для идентификации источников выбросов на основе машинного обучения с подкреплением
Kychkin A., Chernitsin I., Прикладная информатика 2026 Т. 21 № 1 С. 40–58
The results of the development of a software microservice embedded in atmospheric air quality monitoring systems to support the identification of industrial pollution sources are presented. The emission and subsequent spread of harmful substances in the lower layers of the atmosphere is dynamic and characterized by high uncertainty due to the specific features of technological ...
Added: April 23, 2026
2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
IEEE, 2026.
Added: April 21, 2026
О некоторых свойствах многочленов, наименее уклоняющихся от нуля на положительной полуоси по экспоненциальной норме
Galkin O., Galkina S., Ястребова И. Ю., Журнал Средневолжского математического общества 2026 Т. 28 № №1 С. 11–30
Polynomials of least deviation from zero play an important role in the theory and practice of numerical methods. They can be used to solve problems of optimizing the properties of various computational algorithms. Our work is devoted to the study of polynomials of least deviation from zero on a ray in the exponential norm. In ...
Added: April 20, 2026
What Drives Multi-Chain Crypto Forecasting: Model Choice, Feature Selection, and Transferability
Wang M., Xiao Y., Braslavski P. et al., Mathematics 2026 Vol. 14 No. 8 Article 1286
Increasingly shaped by heterogeneous on-chain activity rather than a single shared market process, this study investigates 7-day-ahead forecasting using 147 market and on-chain indicators across eight major blockchain ecosystems from October 2023 to April 2025. We benchmark statistical, deep-learning, and foundation-model baselines under multiple feature-selection pipelines using both error metrics and Diebold–Mariano tests. TiRex achieves ...
Added: April 20, 2026
Cross-influence of two societies in deterministic evolutionary game
Shchur L., Antonov D., Burovski E., International Journal of Bifurcation and Chaos in Applied Sciences and Engineering 2026 P. 1–9
We present a simple model that simulates the possible influence of one society on another. Specifically, two societies evolve deterministically according to the well-known Nowak-May spatial game with the addition of mutual influence through connections that reflect the current states of the societies. This may be related to the influence of a global information resource ...
Added: April 20, 2026
Multimodal graph, surface, and language-based model for protein protein interaction prediction
Arteaga Moreano B. D., Chervov N., Poptsova M., Scientific Reports 2026 Vol. 16 No. 1 Article 4772
Accurate prediction of protein-protein interactions (PPIs) is fundamental to understanding biological processes and disease mechanisms. While deep learning offers a powerful alternative to costly experimental methods, existing approaches often overlook critical protein-surface information and rely on simplistic feature fusion techniques, thereby limiting performance. To address this, we introduce GSMFormer-PPI, a novel multimodal framework that integrates ...
Added: February 4, 2026
Pushchino multibeam pulsar search – V. The bright FRB 20190203 detected at 111 MHz
Tyul’bashev S., Samodurov V., Pozanenko A. S. et al., Publications of the Astronomical Society of Australia 2025 Vol. 42 Article e059
Since August 2014, a monitoring survey at a frequency of 111 MHz has been conducted on the Large Phased Array (LPA) radio telescope of the P.N. Lebedev Physical Institute (LPI). We report the discovery of a bright pulse having a dispersion measure (DM) equal to 134.4±2 pc cm−3, a peak flux density ( Sp ) equal to 20±4 Jy, and a ...
Added: November 20, 2025
Возможности современных интеллектуальных систем в управлении производственными и профессиональными рисками
Бояров Е. Н., Абрамова С. В., Шитов Э. Н. et al., В кн.: Приморские зори - 2024: Международные научные чтения: сборник научных трудов, Владивосток, 18–20 апреля 2024 года.: Владивосток: Дальневосточный федеральный университет, 2024. С. 166–170.
В статье проведен анализ необходимости и эффективности применения современных средств, в частности искусственного интеллекта и больших данных, в процессах моделирования управления производственными и профессиональными рисками. Рассматривается, каким образом интеграция передовых технологических решений способствует повышению точности прогнозирования потенциальных рисков, а также обеспечивает оптимизацию ресурсов и процессов управления рисками в организациях. Освещаются основные этапы построения моделей управления ...
Added: September 24, 2025
Проблемы использования методов статистического анализа данных в педагогических исследованиях
Dvoinin A., Информация и образование: границы коммуникаций 2025 Т. 25 № 17 С. 125–127
The article discusses problems of applying statistical methods in pedagogical research: the lack of informative indicators, template types of analysis, fabrication of calculations, p-hacking and others. ...
Added: August 19, 2025
Технология анализа больших данных для выявления организационных связей: возможности системы iFORA
Loginova I., Пиекалнитс А. С., Grozovskiy F., Социология: методология, методы, математическое моделирование 2025 № 60 С. 36–88
Цель настоящей статьи заключается в демонстрации подходов по анализу связей центров компетенций с использованием системы интеллектуального анализа больших текстово-документных данных iFORA на примере картирования области «Промышленные информационноуправляющие и телекоммуникационные системы». Результаты исследования включают апробацию реализованных в системе iFORA подходов и методов к задачам, которые традиционно решаются в рамках организационного сетевого анализа. Основной результат проведенного анализа ...
Added: August 6, 2025
Transcriptomic Maps of Colorectal Liver Metastasis: Machine Learning of Gene Activation Patterns and Epigenetic Trajectories in Support of Precision Medicine
KUDRYAVTSEVA A., Cancers 2023
Liver metastasis is a significant factor contributing to mortality associated with colorectal cancer. Establishing the biological mechanisms of metastasis is crucial for refining diagnostics and identifying therapeutic windows for interventions. Currently, little is known of the processes that govern the development of liver metastases, the role of the tumor microenvironment, the role of epigenetics, and ...
Added: July 1, 2025
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Биоинформатика — это быстро развивающаяся дисциплина на стыке биологии, информатики и математики. Научно-технический прогресс в области биологических и биомедицинских наук за последние годы привел к стремительному росту объемов данных. Для анализа и интерпретации больших данных нужны мощные вычислительные инструменты и специалисты с глубокими знаниями в различных областях, включая молекулярную биологию, генетику, программирование и математику. В ...
Added: May 20, 2025
Least response method to separate CMB spectral distortions from foregrounds
Maillard J. P., Mihalchenko A., Novikov D. et al., Physical Review D - Particles, Fields, Gravitation and Cosmology 2024 Vol. 109 No. 2 Article 023523
We present a signal-foreground separation algorithm for filtering observational data to extract spectral distortions of the cosmic microwave background (CMB). Our linear method, called the least response method (LRM), is based on the idea of simultaneously minimizing the response to all possible foregrounds with poorly defined spectral shapes and random noise while maintaining a constant ...
Added: April 26, 2025
Роль больших языковых моделей в интегрированных средах разработки нового поколения
Ишанхонов А. Ю., Pshichenko D., Можаровский Е. А. et al., Программные системы и вычислительные методы 2024 № 4 С. 140–150
The role of Large Language Models (LLM) in new generation integrated development environments (IDEs). Tools such as GitHub Copilot, IntelliCode and Alice Code Assistant are explored in the context of their use in programming. The authors examine how LLMs enable the automation of key development tasks, including code autocompletion, error detection, refactoring, and code generation, ...
Added: March 10, 2025
Интеграция Big Data в системы рекомендаций: технологии персонализации контента
Кузнецов И. А., Бобунов А. Ю., Бушуев С. А. et al., Конкурентоспособность в глобальном мире: экономика, наука, технологии 2024 № 9 С. 56–61
he article explores modern technologies employed in content recommendation systems (CRS) using Big Data. It examines data processing and analysis methods that significantly enhance the personalization of recommendations to meet individual needs. The advantages associated with the integration of artificial intelligence (AI) and machine learning (ML) into Big Data processing to improve CRS efficiency are ...
Added: March 10, 2025
Four-dimensional ACC analysis
Mustafina N. I., Plaksin M. A., Mikisheva P. A., Proceedings of the Institute for System Programming of the RAS 2024 Vol. 36 No. 2 P. 47–58
The article discusses the issues of planning and resource management in the process of testing software systems. The paper presents the ACC analysis method used at Google to optimize the distribution of efforts for testing different parts of the system. Extending the method by adding a fourth characteristic - actors (roles of system users) – allows for a ...
Added: February 17, 2025
Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks
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This paper introduces a novel approach for classifying multidimensional physiological and clinical data using Synolitic Graph Neural Networks (SGNNs). SGNNs are particularly good forto addressing the challenges posed by high-dimensional datasets, particularly in healthcare, where traditional mMachine lLearning and Artificial Intelligence methods often struggles to find global optima due to the “curse of dimensionality”. To ...
Added: December 23, 2024
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