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Subject
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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Marketing and Smart Technologies: Proceedings of ICMarkTech 2024, Volume 2

Springer, 2025.
Under the general editorship: J. L. Reis, J. Cascalho, M. Peter, L. P. Reis, M. T. Tiago

This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2024), held at University of Azores, Ponta Delgada, Azores, Portugal, between December 5 and 7, 2024. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.

Chapters
Internal Connection Intensity as Logistic and Marketing Indicator of Museum Clusters Performance
Polomarchuk A., Fainshtein E., , in: Marketing and Smart Technologies: Proceedings of ICMarkTech 2024, Volume 2.: Springer, 2025. P. 79–95.
The performance of a museum cluster, as a spatial concentration of museums, is considered in this research paper. This research examines the performance of museum clusters—geographical concentrations of museums—by evaluating the intensity of their internal connections (ICI) from a logistics and marketing perspective. Logistic ICI is measured by the volume and density of tourist crossflow ...
Added: February 18, 2026
Research target: Economics and Management Computer Science
Language: English
DOI
Text on another site
Keywords: BlockchainWeb MarketingNetworking MarketingBusiness IntelligenceMobile MarketingWearable TechnologiesSustainable Supply ChainProceedings of ICMarkTech 2024
Marketing and Smart Technologies: Proceedings of ICMarkTech 2024, Volume 2
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This book gathers selected papers from the KES-IDT 2025 conference, held in Solin, Croatia, on June 25–27, 2025. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed is classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, ...
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Интегральная оценка сценариев кибератак на АСУ ТП с применением цифрового двойника и киберполигона
Lebedev O. B., Митяков Е. С., Саенко И. Б. et al., Информация и космос 2026 № 1 С. 53–58
The article presents a methodology for the integrated assessment of cyberattacks on industrial control systems (ICS) using a combination of the Ampire cyber range and a digital twin. The approach is based on calculating five criteria—severity, attacker capabilities, vulnerability, complexity, and defense effectiveness—that form an integrated threat index. Testing across three scenarios confirmed the index's ...
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Децентрализованное управление группой автономных подвижных объектов при формировании траектории движения
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This article examines algorithms for generating motion trajectories for unmanned aerial vehicles (UAVs) during search-and-rescue and emergency response operations. It describes methods and algorithms for controlling the movement of a UAV group in various formations—such as line, rank, column, and during turns. Control is achieved through alternative collective adaptation algorithms based on principles of collective ...
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Управление передвижением группы БПЛА с соблюдением геометрической структуры строя на основе альтернативной коллективной адаптации
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The primary approach to solving motion planning and control problems involves the use of intelligent technologies. These technologies are applied to define and adjust control objectives and action programs, as well as to formulate control algorithms under conditions of uncertainty—stemming from various factors—across actuator elements and the motion control, planning, and behavioral subsystems. This paper ...
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Гибридный алгоритм оптимизации на основе объединения моделей роевого интеллекта: роя хромосом и пчел
Lebedev O. B., Лебедев Б. К., Ганжур М. А., Информатизация и связь 2023 № 2 С. 80–84
A hybrid algorithm has been developed to solve the VLSI component placement problem by combining procedures based on bee colony behavior and a chromosome swarm. The optimization criterion is based on estimates of the number of nets crossing specific lines within the routing area. A modified chromosome swarm paradigm is described; unlike the canonical method, ...
Added: September 13, 2026
МОДЕЛИРОВАНИЕ ПОСТРОЕНИЯ ТРАЕКТОРИИ ПОДВИЖНОГО ОБЪЕКТА НА ОСНОВЕ МЕТОДОВ МНОГОКРИТЕРИАЛЬНОЙ ОПТИМИЗАЦИИ
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The article presents a detailed analysis of a hybrid path-planning algorithm designed for navigation in a two-dimensional space, accounting for partial uncertainty regarding terrain information. The algorithm operates in stages and is divided into two levels. At the first level, the object's local visibility zone is established, and the corresponding region on the map is ...
Added: September 12, 2026
ГИБРИДНЫЙ МЕТОД ПЛАНИРОВАНИЯ КОНФИГУРАЦИИ МАРШРУТА НА КАРТЕ МЕСТНОСТИ В УСЛОВИЯХ ЧАСТИЧНОЙ НЕОПРЕДЕЛЕННОСТИ
Lebedev O. B., Лебедев Б. К., Бесхмельнов М. И., Известия ЮФУ. Технические науки 2025 Т. 2(244) С. 68–82
This paper describes a hybrid situational trajectory planning algorithm for 2D space operating under conditions of partial uncertainty. Based on the integration of wave-propagation and ant colony optimization algorithms, it enables the real-time generation of minimum-length trajectories while simultaneously optimizing other path quality criteria. The processes of generating a trajectory segment and moving the object ...
Added: September 12, 2026
OPTIMIZATION BY THE SWARM OF TRANSFORMING CHROMOSOMES METHOD
Lebedev O. B., Beskhielnov M. I., OPTIMIZATION BY THE SWARM OF TRANSFORMING CHROMOSOMES METHOD 2024 Vol. 34 No. 3 P. 652–658
A new strategy for finding effective solutions based on modification and hybridization of the canonical representations of the particle swarm algorithm is proposed. A paradigm of a swarm of transforming chromosomes is described, making it possible to represent solutions in the affine space of chromosomes with integer parameter values. The mechanisms of chromosome transformation in ...
Added: September 12, 2026
Использование методов машинного обучения для повышения эффективности систем противодействия многоэтапных кибератак
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This article analyzes the impact of artificial intelligence (AI) and machine learning technologies on the development and transformation of cyberthreats and the creation of highly effective cyberdefense systems. Key trends in AI evolution are discussed, including data-, model-, application-, and human-centric approaches, and their role in shaping both defensive and offensive capabilities. It is shown ...
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The ripple effect: How fake news shapes stock market behavior
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Within the framework of a current area of research in the field of speech acoustics – non-invasive analysis of speech production processes – the acute problem of insufficient accuracy of parametric methods for coding a turbulent (noise) type voice source is considered. In order to overcome this problem, a method for coding a sound source with increased ...
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Применение технологий компьютерного зрения в системах обработки визуальной информации
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This paper considers the application of artificial intelligence technologies, in particular computer vision, in visual information processing systems. A comprehensive analysis of neural network approaches to solving computer vision problems is carried out, including systematization of key types of problems: image classification, object detection and semantic segmentation. The architectural principles of convolutional neural networks are ...
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Dynamic Formation of Robot Movement Route in Nondeterministic Environment with Bypassing Stationary and Nonstationary Obstacles
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The work describes a hybrid algorithm for the dynamic formation of a robot’s movement route in nondeterministic environments with bypassing stationary and nonstationary obstacles for two-dimensional space, based on the integration of wave and ant algorithms, which makes it possible to build trajectories of minimum length in real time with simultaneous optimization of a number ...
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Added: September 10, 2026
Модель глубокого обучения для автоматизированной интерпретации медицинских электрофизиологических данных
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This paper describes the development of a neural network model for automated analysis of medical data in electrophysiology based on deep learning methods. The relevance of this work stems from the growing need to improve the objectivity, speed, and accuracy of processing complex spatiotemporal signals, such as ECG or EEG. Convolutional neural networks (CNNs), which ...
Added: September 10, 2026
Модели музеефикации индустриального наследия и их роль в брендинге туристических дестинаций
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This article examines the musealisation of industrial heritage and its role in regional and corporate branding. The relevance of this study stems from deindustrialisation processes, the growth of industrial tourism, and the need to preserve historical memory, which is particularly important in the context of Russian realities—the lack of a legal definition of the concept ...
Added: September 9, 2026
Технология блокчейн в управлении цепями поставок
Dybskaya V., Sergeyev V., Логистика 2025 № 4 С. 16–22
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Added: April 29, 2026
Backtesting framework for concentrated liquidity market makers on Uniswap V3 decentralized exchange
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Added: November 30, 2025
Влияние судебной практики на правовое регулирование криптовалют и майнинга в Российской Федерации и Великобритании
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Introduction. The swift evolution of digital asset technologies continues to outpace the development of comprehensive regulatory frameworks. In this context of legislative gaps, court rulings play a pivotal role in shaping the legal status of cryptocurrencies and mining, underscoring the relevance of a comparative analysis of their impact across different legal systems. Methodology and materials. This ...
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From Digital Disruption to Dominance: Leveraging FinTech Applications for Sustainable Growth
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The financial industry has traditionally been seen as resistant to change, but with the advent of FinTech, the landscape is shifting rapidly. FinTech applications, once merely disruptive forces, have now become dominant drivers of innovation, offering unprecedented opportunities for businesses to grow, adapt, and thrive in an increasingly digital marketplace. In an era where technology and ...
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Decentralized Public Transport Management System Based on Blockchain Technology
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The development of intelligent transportation systems (ITSs) is penetrating many economies around the globe. This paper presents three key innovations in the field of intelligent transportation systems, as follows: (1) a novel tokenization approach where each vehicle is represented as a macro-token subdivided into 500,000 micro-tokens for precise condition monitoring, (2) a comprehensive mathematical model ...
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The development of the Intelligent Transportation System (ITS) is penetrating many economies around the globe. Various researchers in both industry and academia are looking into more efficient management of both vehicles and related data processing aspects. A vast trend related to the latter part is the distributed data processing of the transmitted data. This article ...
Added: January 18, 2025
ICBTA '24: Proceedings of the 2024 7th International Conference on Blockchain Technology and Applications
NY: Association for Computing Machinery (ACM), 2025.
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Added: April 1, 2024
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