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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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2024 International Scientific and Technical Conference Modern Computer Network Technologies (MoNeTeC)

IEEE, 2024.
Editor-in-chief: R. Smeliansky
Chapters
Transport Layer Coding for Latency Reduction in Communication Networks: a Theoretical Basis
Krouk E., Kabatiansky G. A., Sergeev A. et al., , in: 2024 International Scientific and Technical Conference Modern Computer Network Technologies (MoNeTeC).: IEEE, 2024. Ch. 11 P. 1–4.
At the center of the work – the method of decreasing the average message delay based on the error-correcting coding in the transport layer of the network model. The work estimates the gain of transport coding for of average and maximum latency reduction. The article starts with a detailed description of the theoretical network model ...
Added: December 12, 2024
Quality assessment of static analyzers for containerized applications
Bashun V., Shadrunov A., , in: 2024 International Scientific and Technical Conference Modern Computer Network Technologies (MoNeTeC).: IEEE, 2024.
Modern software development and operations heavily depend on container technologies. With reduced overhead and faster deployment, containerization presents new challenges regarding its security and the need for in-depth defence against cyber-attacks. Vulnerability detection is one of the components that can provide additional security and prevent system compromise.In this study, we evaluate the quality of static ...
Added: June 18, 2025
Research target: Computer Science
Language: English
Sample Chapter
DOI
Text on another site
Keywords: communication networkкомпьютерные сетиcomputer networksсистемы связи
2024 International Scientific and Technical Conference Modern Computer Network Technologies (MoNeTeC)
Similar publications
What Do Text-to-Image Models Know About the Languages of the World?
Фирсанова В. И., Journal of Mathematical Sciences 2024 Vol. 285 No. 1 P. 112–125
Text-to-image models use user-generated prompts to produce images. Such text-to-image models as DALL-E 2, Imagen, Stable Diffusion, and Midjourney can generate photorealistic or similar to human-drawn images. Apart from imitating human art, large text-to-image models have learned to produce combinations of pixels reminiscent of captions in natural languages. For example, a generated image might contain ...
Added: September 9, 2026
Разработка интерфейса виртуального ассистента преподавателя на основе технологий вызова функций и инженерии инструкций для больших языковых моделей
Фирсанова В. И., Человек: образ и сущность. Гуманитарные аспекты 2025 Vol. 2 No. 62 P. 203–214
Abstract. The paper highlights prompt engineering in academic setting to reduce plagiarism and increase students' interest. The research problem is the lack of a unified methodology for using artificial intelligence in education. The paper aims to create a generative artificial intelligence user interface, the Virtual Teaching Assistant. Teachers were interviewed, the first collection of presets ...
Added: September 9, 2026
Анализ согласованности голосования стран ЕАЭС и ОДКБ в ГА ООН с помощью иерархической кластеризации
Вохминцев И. В., Вестник международных организаций: образование, наука, новая экономика 2026 Т. 21 № 2
The EAEU and the CSTO are Russia’s principal regional international organisations. Understanding, assessing, and analysing the foreign-policy positions of the countries that belong to them is a matter of the state’s national interests. This determines the purpose of the study: to identify the level and the form of cohesion in the voting of EAEU and ...
Added: September 7, 2026
Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach
Alshanskaia E., Portnova G., Liaukovich K. et al., Frontiers in Neuroscience 2024 Vol. 18
Added: September 7, 2026
Oil Spill Segmentation in SAR Data Using ViT-UNet: Performance and Practical Insights
Зуенко Д. О., Trofimova E., Хайдарова И., IEEE Access 2026 Vol. 14 P. 121339–121357
Oil spill segmentation in Synthetic Aperture Radar (SAR) images is limited by noisy annotations in publicly available datasets and by architectural choices that interact with label quality in opposing directions. First, we introduce a manually refined version of the Deep-SAR Oil Spill (SOS) dataset, in which 36.25% of masks are corrected for false positives, missed ...
Added: September 7, 2026
Variational representation of weighted divergencies and error exponent function
Kelbert M., Statistics 2026 Vol. 60
We present variational representations for the weighted divergencies and exponential error function, and discuss implications for the statistical inference and entropic optimal transport. ...
Added: September 7, 2026
Scalable machine learning approach to disordered s-wave superconductors
Неверов В. Д., Красавин А. В., Vagov A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 P. 1–6
We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
On the rate of Gaussian approximation for online linear regression problems
Sheshukova M., Durmus A., Khusainov M. et al., Statistics 2026 P. 1–25
In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We derive the corresponding rates for the setting of a constant stepsize and study the explicit dependence of the convergence rate on the problem dimension d and quantities related to the design matrix. When the number of iterations n is known in advance, ...
Added: September 4, 2026
Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337, 17-21 August 2026, KIT, Amsterdam, the Netherlands
Proceedings of Machine Learning Research , 2026.
Added: September 4, 2026
A unified frequency-domain framework for tilted slice localization and ischemic stroke detection
Khodadoust J., Kulikova S., Khodadoust F., Biomedical Signal Processing and Control 2027 Vol. 129 P. 111284–111284
Acute ischemic stroke (AIS) analysis from two-dimensional (2D) clinical imaging is hindered by uncontrolled slice tilt and geometric inconsistencies that violate the assumptions of pose-agnostic deep learning (DL) models. This paper proposes a unified geometry-aware, frequency-domain framework for tilted slice localization and ischemic stroke segmentation that explicitly decouples pose estimation from lesion analysis. The method ...
Added: September 2, 2026
Proceedings of the 2026 Fourth International Conference on Distributed Computing and High Performance Computing (DCHPC)
IEEE, 2026.
On behalf of the Organizing Committee, it is my great pleasure to extend a warm welcome to all participants of the Fourth International IEEE Conference on Distributed Computing and High-Performance Computing (DCHPC 2026), held in Tehran from May 10–11, 2026. This conference is jointly organized by the School of Computer Science at the Institute for Research in Fundamental Sciences (IPM) ...
Added: September 2, 2026
Discrete Markowitz Portfolio Optimization with Open-Source Classical and Quantum-Inspired Solvers: A Cross-Market Walk-Forward Study
S.M. Avdoshin, Patrushev K. A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4-2 P. 245–256
The cardinality-constrained Markowitz problem is NP-hard and traditionally solved with commercial MIQP solvers. Following the 2022 export restrictions that rendered both commercial MIQP software and cloud quantum platforms (IBM Quantum, D-Wave Leap) inaccessible from the Russian Federation, practitioners require open-source alternatives. This paper systematically compares three solver families for the discrete mean-variance problem: two open-source ...
Added: August 27, 2026
Benchmarking Synolitic Graphs for Autism Classification from Multisite Resting-State fMRI
Zaikin A., Vlasenko D., Zakharov D. et al., Diagnostics 2026 Vol. 16 No. 17 P. 1–15
Background/Objectives: Synolitic graphs (SGs) were developed for task-based fMRI, where edge weights encode the discriminative power of pairwise regional features; whether similar information can be recovered from resting-state data was untested. We benchmarked SGs for autism spectrum disorder (ASD) classification using the multisite ABIDE-I dataset (871 subjects: 403 subjects with ASD, 468 typical controls; 17 sites; CC200 atlas). Methods: Using ...
Added: August 27, 2026
Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование. Современные проблемы, приложения и проблемы истории. Материалы XXIV Международной конференции, посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова
Тула: Тульский государственный педагогический университет им. Л.Н. Толстого, 2025.
Сборник содержит материалы, представленные на XXIV Международной конференции «Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование: современные проблемы, приложения и проблемы истории», посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова. Материалы конференции будут полезны научным работникам, ...
Added: August 27, 2026
Characterizing the Scheduling Performance of 5G NR Base Stations Under Signaling and Data Traffic Constraints
Eduard Sopin, Nazarin A., Begishev V. et al., IEEE Transactions on Vehicular Technology 2026 Vol. 75 No. 6 P. 10995–11007
Aimed at rate-greedy applications having extreme requirements for the data rate at the air interface, 5G New Radio (NR) systems may experience problems when the number of user equipment (UE) in the coverage of the cell increases due to limited capacity of the physical downlink control channel (PDCCH).The aim of this study is to explore ...
Added: August 26, 2026
Генерация исходного кода с использованием больших языковых моделей: систематический обзор методологии Вайб-кодинг
Джонов А. Т., Avdoshin S. M., Информационные технологии 2026 Т. 32 № 8 С. 421–427
This systematic review presents an analysis of the "Vibe Coding" methodology — a contemporary approach to the iterative software development process using Large Language Models (LLMs). Code generation tools are transforming software development by enabling programmers to formulate tasks and describe the desired behavior of software in natural language, while LLMs generate source code corresponding ...
Added: August 25, 2026
Расширение возможностей проекта VPCS при моделировании IPv6-адресации с использованием программного эмулятора компьютерных сетей GNS3
Chashkin L., Маршутина Е. Н., В кн.: Девятнадцатая конференция «Свободное программное обеспечение в высшей школе» : материалы конференции / Переславль-Залесский, 28–30 июня 2024 года.: М.: МАКС Пресс, 2024. С. 151–154.
Данная работа посвящена развитию проекта VPCS при моделировании компьютерных сетей в программном эмуляторе GNS3. В работе предлагается решение проблемы ограниченных возможностей виртуальных компьютеров VPCS при моделировании IPv6-адресации в GNS3. Разработан механизм добавления и использования статического маршрута по умолчанию при IPv6-адресации для виртуальных компьютеров VPCS. ...
Added: October 25, 2025
Methodology for predicting dependability measures of swarm structures of unmanned aerial vehicles of agricultural application
Kostyuk A., Tsvetkov V., Korolev P. et al., Reliability: Theory and Applications 2025 Vol. 20 No. 3(86) P. 35–53
This paper presents a methodology for predicting dependability measures of swarm structures of unmanned aerial vehicles used in agriculture. The main attention is paid to the development of mathematical models for assessing the dependability of hardware, software, and communication systems in drone swarms. Two types of UAVs are considered in the paper: DJI Phantom 4 ...
Added: June 23, 2025
Distributed Computer and Communication Networks: 24th International Conference, DCCN 2021, Moscow, Russia, September 20–24, 2021, Revised Selected Papers
Cham: Springer, 2022.
This book constitutes revised selected papers from the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. Due to the COVID-19 pandemic the conference was held online.  The 31 full papers along with the 4 short papers were carefully reviewed and selected from 151 submissions. The ...
Added: March 20, 2025
Computer Networks
Rodriges Zalipynis R. A., St. Petersburg: Naukoemkie Technologii, 2024.
Computer Networks are ubiquitous in the modern IT sector. Computer Networks are veins of DBMSs, Web & Mobile Applications, Distributed Systems, and many other software products. A good understanding of the underlying networking principles facilitates building more reliable and efficient software products. This makes this Computer Networks Course Syllabus (Curriculum) highly beneficial for educating future ...
Added: September 14, 2024
Информатика : 7-й класс : базовый уровень : учебное пособие
Shestakova L. V., Семакин И. Г., Залогова Л. А. et al., М.: Просвещение, 2023.
Учебное пособие предназначено для изучения информатики на базовом уровне в 7 классе общеобразовательных организаций. Учебное пособие содержит теоретический материал курса, вопросы и задания для закрепления знаний. В конце каждой главы в схематическом виде представлена система основных понятий этой главы. Учебное пособие соответствует требованиям Федерального государственного образовательного стандарта основного общего образования ...
Added: June 25, 2024
Social Computing and Social Media.16th International Conference, SCSM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part III
Springer, 2024.
This book constitutes the refereed proceedings of the 16th International Conference on Social Computing and Social Media, SCSM 2024, held as part of the 26th HCI International Conference, HCII 2024, which took place in Washington, DC, USA, during June 29–July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings ...
Added: June 3, 2024
14th International Conference, OPTIMA 2023, Petrovac, Montenegro, September 18–22, 2023, Revised Selected Papers. Communications in Computer and Information Science (CCIS, volume 1913)
Springer, 2023.
This book constitutes the refereed proceedings of the 14th International Conference on Advances in Optimization and Applications, OPTIMA 2023, held in Petrovac, Montenegro, during September 18–22, 2023. The 21 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: ​mathematical programming; global optimization; continuous optimization; ...
Added: December 9, 2023
LNAI 14133: 28th International Conference on Conceptual Structures, ICCS 2023, Berlin, Germany, September 11–13, 2023, Proceedings. Graph-Based Representation and Reasoning
Berlin: Springer, 2023.
This book constitutes the refereed deadline proceedings of the 28th International Conference on Graph-Based Representation and Reasoning, ICCS 2023, held in Berlin, Germany, during September 11–13, 2023. The 9 full papers, 5 short papers and 4 Posters are included in this book were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: Complexity and Database Theory, Formal ...
Added: November 23, 2023
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