?
Интеллектуальные информационные системы: теория и практика. Сборник научных статей по материалам V Международной конференции (Курск, 19–21 ноября 2024 года)
Kursk :
Kursk State University, 2024.
Editor-in-chief: А. А. Халин
The collection publishes scientific articles based on the materials of the V International Scientific and Technical Conference "Intelligent Information Systems: Theory and Practice". The publication is addressed to students, postgraduates, university professors, candidates and doctors of science, practicing specialists, and anyone interested in the design and development of intelligent information systems, their practical applications, as well as methods and algorithms for intelligent analysis and processing.
Chapters
Джейранян А. Д., Plaksin M. A., В кн.: Интеллектуальные информационные системы: теория и практика. Сборник научных статей по материалам V Международной конференции (Курск, 19–21 ноября 2024 года).: Курск: Курский государственный университет, 2024. С. 7–12.
The paper describes a method for using generative artificial intelligence to organize group examinations. A set of instructions has been formed that can be used for this purpose. The application of the method in the field of risk management (in programming and economics) is demonstrated. Several popular generative chatbots are compared. The correct application of ...
Added: February 17, 2025
Белаш В. А., Сохранных С. А., Plaksin M. A., В кн.: Интеллектуальные информационные системы: теория и практика. Сборник научных статей по материалам V Международной конференции (Курск, 19–21 ноября 2024 года).: Курск: Курский государственный университет, 2024. С. 46–50.
The article discusses the prospects for implementing generative artificial intelligence in project management systems to improve the efficiency of risk identification and planning. Using the example of using the j-method with publicly available chatbots in conducting an expert assessment, it demonstrates how modern technologies can optimize the processes of analysis and forecasting, using Crawford's methods ...
Added: February 17, 2025
Ryumina E., Aksenov A., Сысоев Д. С. et al., IEEE Computer Society, 2026.
Ambivalence/hesitancy recognition in unconstrained videos is a challenging problem due to the subtle, multimodal, and context-dependent nature of this behavioral state. In this paper, a multimodal approach for video-level ambivalence/hesitancy recognition is presented for the 10th ABAW Competition. The proposed approach integrates four complementary modalities: scene, face, audio, and text. Scene dynamics are captured with ...
Added: September 30, 2026
Ivanov F., Kotov F., IEEE Access 2026 Vol. 14 P. 104662–104679
U-UV codes, based on the Plotkin (U, U + V) construction, provide a unified framework that includes polar and Reed–Muller codes and enables flexible design through the choice of component codes. While modern capacity-approaching codes achieve excellent performance at large block lengths, their efficiency at short and moderate lengths remains limited, especially under low-latency constraints. ...
Added: September 30, 2026
Djambong Tenkeu H., Institute for System Programming of the RAS, 2026.
Added: September 29, 2026
Belousov D., Экономическое возрождение России 2026 № 2 С. 85–97
Выявление ключевых тенденций и структурных сдвигов в развитии мировой экономики, обусловленных переходом от биполярной модели к «мозаичному» миру взаимодействующих центров силы, а также определение возможных позиций и роли России в формирующейся новой архитектуре международных экономических отношений в современных условиях приобретает важное не только теоретическое, но и прикладное значение. В результате исследования зафиксирован парадоксальный феномен: в ...
Added: September 29, 2026
Ivanashev Y., Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2026 Т. 529 С. 93–101
Язык L является нижним для релятивизируемого сложностного класса C, если CL=C. Для классов #P, GapP и SpanP известны точные нижние классы языков: Low(#P) = UP ∩ coUP, Low(GapP) = SPP и Low(SpanP) = NP ∩ coNP. В этой статье мы доказываем, что Low(TotP) = P, и приводим характеризации нижних классов функций для #P, GapP, TotP ...
Added: September 28, 2026
Piliugin L., Antropov A., Lobashev E. et al., Journal of Nuclear Materials 2026 Vol. 632 Article 156876
The effects of dislocations on the mobility of gas nanobubbles pinned to them are considered as novel unex- plored mechanisms of accelerated fission gas release and investigated using classical molecular dynamics of helium bubbles in FCC aluminum. Non-equilibrium methods are developed to calculate the mobility of a pinned bubble both along and across the dislocation ...
Added: September 28, 2026
Kashpurovich I., Oleynichenko A., Stegailov V., Supercomputing Frontiers and Innovations 2026 Vol. 13 No. 1 P. 52–73
We report a high-performance implementation of the resolution-of-the-identity Hartree–Fock method that fully exploits the permutational symmetry of three-center electron repulsion integrals (ERI). The present implementation adopts a hybrid MPI+OpenMP parallelization strategy. Two different algorithmic approaches (with and without the pre-transformation of ERIs) are compared. A custom data layout introduced previously is employed. Designed to efficiently ...
Added: September 28, 2026
Teregulov T., Loubenets E. R., / Series Quantum Physics "arXiv". 2026. No. 2609.31472.
We develop a new three-party quantum secret-sharing (QSS) protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the efficiency of the proposed protocol and analyze its security against an internal adversary ...
Added: September 28, 2026
Silakov D., Системный администратор 2026 С. 84–89
Social media users rarely think about what lies behind the beautiful facade of activity feeds, teeming with photos and video stories. However, the widespread popularity of such platforms generates a huge amount of all sorts of content that needs to be stored, processed quickly, and displayed, and in the era of AI, it also needs ...
Added: September 28, 2026
Prokhorov A., Wei Z., Sang H. et al., Journal of Productivity Analysis 2026 Vol. 65 P. 1–16
The stochastic frontier model (SFM) is widely employed in the analysis of productivity and efficiency, yet strict parametric forms, such as the Cobb-Douglas and Translog functions, are often assumed for modeling production, leading to potential misspecification issues. While semi- and nonparametric SFMs offer greater flexibility, they face challenges in imposing monotonicity and concavity to maintain ...
Added: September 28, 2026
Qian X., Guan X., Zhang B. et al., Journal of Global Optimization 2026
Inverse quickest path problem on networks ...
Added: September 27, 2026
Switzerland: Springer Cham, 2026.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy. Reflecting the volume’s motto, Navigating Complexity – Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract ...
Added: September 25, 2026
Almugren I., Chotia V., Habib M. D. et al., Journal of Knowledge Management 2026 P. 1–22
Purpose
The convergence of artificial intelligence (AI) and immersive digital environments has positioned these systems as a potential knowledge infrastructure. However, prior research largely assumes that immersive experience and intelligent systems naturally translate into effective knowledge use and strategic outcomes. This study aims to examine how experiential, perceptual and strategic factors shape the cognitive internalization and ...
Added: September 25, 2026
Kraevskiy A., Sokolovskiy E., Prokhorov A., Emerging Markets Review 2026 No. 74 P. 1–19
Financial markets of emerging economies are vulnerable to extreme and cascading information spillovers, surges, sudden stops and reversals. With this in mind, we develop a new online early warning system (EWS) to detect what is referred to as ‘concept drift’ in machine learning, as a ‘regime shift’ in economics and as a ‘change-point’ in statistics. ...
Added: September 25, 2026
Дубич Е. В., Schagin D., Славянский форум 2026 № 2 (52) С. 560–565
The paper compares HTTP/2 and HTTP/3 for static resource transfer under software-simulated network degradation. The experiment shows that HTTP/3 is not universally faster, but it is more stable as latency and packet loss increase. ...
Added: September 25, 2026
Joulitov A.K., Lomazova I.A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4(2) P. 215–224
In process mining, DFG (Directly-Follows Graph) models are popular due to their simplicity and clarity. However, if a process is acyclic but contains concurrent events, standard algorithms for discovering DFG models can generate "fake" cycles that do not actually exist in the event log. These cycles hinder the analysis of information processes, significantly reducing the ...
Added: September 24, 2026
Добрина Д. Н., Nesterenko A., Прикладная дискретная математика. Приложение 2026 № 19 С. 151–159
Работа содержит результаты формального анализа криптографических механизмов, входящих в состав проекта методических рекомендаций «Защищенный универсальный протокол передачи данных и управления микросхемой интеллектуальной карты» (протокол SECUNDA). Получена формальная модель и перечень трудноразрешимых математических задач, трудоёмкостью решения которых можно оценить стойкость используемых криптографических механизмов. ...
Added: September 24, 2026
I.I. Sergeev, I.A. Lomazova, Modeling and Analysis of Information Systems 2026 Vol. 33 No. 3 P. 394–419
Object-centric process mining has emerged as a powerful paradigm for analyzing event data involving multiple interacting business objects. Existing discovery techniques often rely on object-centric Petri nets with fixed arc multiplicities, limiting their ability to represent parametric resource consumption and production patterns and to capture quantitative dependencies between interacting object types. In this paper, we ...
Added: September 24, 2026
Festa G., D'Amato A., Palladino R. et al., European Journal of Innovation Management 2026 Vol. 29 No. 3 P. 728–744
Purpose
Artificial intelligence (AI) is vastly impacting the digital transformation of societies, economies, businesses, markets and enterprises, at a very fast pace, mostly after the global success of the generative algorithms. In this respect, this study, with an exploratory intention, aims to provide evidence about the fundamental issues of AI, particularly if generative, when adapted to ...
Added: September 24, 2026
Ivan Bulychev, Savchenko A., AI 2026 Vol. 7 No. 9 Article 380
Recent advances in large language model (LLM) agents have shown promise for autonomous decision-making in recommender systems. However, existing approaches suffer from two fundamental limitations: flat agent memories that conflate different information modalities and prohibitive computational costs that prevent scaling beyond a few hundred users. We propose Hybrid-GraphRAG, a recommender system that integrates hierarchical agent ...
Added: September 24, 2026
Snegirev A., Sychev S., Futures 2026 Vol. 183 P. 1–22
This study addresses the systemic identification and categorization of risks associated with AI development, arising from tensions between technological evolution and institutional, infrastructural, and economic contexts. Drawing on a constructionist methodology, we interpret technological risks as constitutive elements of expert communities' images of the future. Through in-depth interviews with 100 AI experts, proportionally representing corporate, ...
Added: September 23, 2026
Parshakov P., Paklina S., International Journal of Human-Computer Interaction 2026 P. 1–17
This study examines how emotional tone shapes user preference in human–large language model (LLM) interaction. Drawing on the Computers as Social Actors framework, we treat conversational AI as a social communicator whose affective cues influence user judgments. Using large-scale pairwise preference data from LMSYS Chatbot Arena, we model emotional tone through the Valence–Arousal–Dominance framework and ...
Added: September 23, 2026
Кузнецова М. П., Klochko O., Современная мировая экономика 2026 Т. 4 № 2 С. 6–25
The article examines the positions of the world’s largest countries in the industrial robotics sector as one of the key areas for the physical artificial intelligence (AI). The aim of the study is to conduct a comparative assessment of the readiness of leading economies to develop physical AI based on an analysis of production, foreign ...
Added: September 23, 2026
Тыров И. А., Васильев Ю. А., Владзимирский А. В. et al., Труды Института системного анализа Российской академии наук 2026 Т. 76 № 3 С. 79–89
Large language models (LLMs) in healthcare currently attract significant interest. This study compared GigaChat and YandexGPT by evaluating 1,200 LLM-generated responses to physician queries from outpatient and inpatient settings across 7 topics. Thirteen expert physicians assessed the responses using a 5-point scale across five criteria: relevance, correctness, safety, completeness, and language literacy. We performed paired ...
Added: September 22, 2026