Анатолий Иванович Китов

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Анатолий Иванович Китов

Max press, 2020.

Under the general editorship: Shilov V., В. А. Китов

Compiler: Shilov V., В. А. Китов

Several books, more than one hundred articles, several documentaries, etc. have already been published about the
pioneer of cybernetics and information technology, Anatoly Ivanovich Kitov. However, most of these publications
are of an overview-fragmented nature and a number of dramatic episodes of his biography are touched on in them
very superficially. There are as yet no publications that show the true scale and scope of the work done by this
outstanding scientist. This book is intended to fully present to the general public the activities of one of the brightest
representatives of the first generation of scientists who created Soviet and Russian cybernetics, computer technology
and computer science. In such fullness the materials about A.I. Kitov are collected for the first time. This will help
interested readers to get an idea not only about this outstanding scientist and extraordinary person, but also about the
time in which he lived and worked.

Research target: Computer Science

Priority areas: IT and mathematics engineering science

Language: Russian

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Model-Dependent Prompt-Component Ablation for Medical LLM Decision Support: Application to ENT Biologics Screening

Sergey N. Koltcov, Budkovaia M., Surkov A. et al., IEEE Journal of Biomedical and Health Informatics 2026 P. 1–10

Large language models (LLMs) show promise for clinical decision support, but privacy constraints and unreliable free-text decisions limit deployment. We present Medotor, a locally deployed system for screening patients with chronic rhinosinusitis with nasal polyps (CRSwNP) for biologic therapy, and evaluate prompt design on 163 retrospective cases (132 eligible and 31 ineligible). Five models were ...

Added: November 13, 2026

Impact of 5G NR-V2X Message Losses on Connected Vehicle Warning Functions

Физулин А. В., Stepanyants V., Amerikanov A. et al., FUTURE TRANSPORTATION 2026 Vol. 6 No. 6 Article 264

Cooperative warning functions depend on whether V2X information becomes available in time to influence vehicle control. This article presents an event-based co-simulation framework coupling SUMO, ns-3 (ms-van3t), 5G-LENA NR sidelink and application records, with Sionna RT enabled for the intersection scenario. In 140 emergency-vehicle-warning runs, reducing mean packet reception ratio (PRR) from 0.9412 to 0.0675 ...

Added: November 12, 2026

Structural model of decision support system for sustainable development of oil and gas companies

Stoianova A. D., Trofimets V. Y., Matrokhina K. V., International Journal of Engineering, Transactions A: Basics 2025 Vol. 38 No. 4 P. 701–709

The article considers the issue of managerial decision-making in an oil and gas company, which is related to the class of multi-criteria choice problems. To improve the validity of decisions in the context of companies’ sustainable development it is proposed to implement a Decision Support System (DSS). A brief review of the existing methods of ...

Added: November 10, 2026

EdFitter: a hybrid course recommendation system using large language models

Sergei Koltcov, Ryumin D., Alexandr Axyonov et al., PeerJ Computer Science 2026 Article 12:e4141

Educational institutions face increasing pressure to adapt their curricula to the rapidly evolving demands of the job market, and recommender systems can be important tools to guide students in selecting courses that align with their career goals. We present EdFitter, a hybrid course recommendation system that combines pretrained text embeddings for retrieval with large language ...

Added: November 10, 2026

Assessing density equilibration in confined Liquid–Liquid interfaces

Guskov T., Gerke K., Kondratyuk N. et al., Molecular Simulation 2026 Vol. 52 No. 7 P. 546 – 555

Equilibration is often assumed rather than tested in molecular dynamics studies of confined liquid–liquid interfaces, even though different physical properties may relax on different time scales. In this work, equilibration is examined using an automated truncation method based on the marginal standard error rule. Interfacial geometry, wetting behaviour, and density-related properties are analysed for liquid–liquid ...

Added: November 10, 2026

Influence of nuclear quantum effects on metastable states of warm dense hydrogen

Lukyanchuk V., Norman G., Kondratyuk N. et al., Scientific Reports 2026 Vol. 16 No. 1 Article 16435

Previously, it has been effectively shown that nuclear quantum effects (NQE) considerably influence the prediction of the warm dense hydrogen phase diagram. Here, we study the influence of NQE on the parameters of the conducting state formation in warm dense hydrogen using path integral molecular dynamics (PIMD) within the framework of the finite temperature density ...

Added: November 10, 2026

Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track. European Conference, ECML PKDD 2026, Naples, Italy, September 7–11, 2026, Proceedings

Cham: Springer, 2027.

This volume is Part VIII of the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2026, held in Naples, Italy, September 7–11, 2026. It contains 40 papers from the Research Track and the Applied Data Science Track and is published as volume 16948 of Lecture Notes in ...

Added: November 9, 2026

Artificial Intelligence for Software Engineering (AI4SE): A Review of Capabilities, Evaluation, and Verification Challenges

Avdoshin S.M., Pesotskaya E.Y., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 6, part 2 P. 133–146

Artificial intelligence has significantly reshaped contemporary software engineering practice, changing how software systems are designed, implemented, tested, and maintained. Recent advances in large language models and AI-assisted development tools have expanded the role of AI from supporting isolated tasks to participating in multiple stages of the software lifecycle. In many development settings, software is now created from high-level specifications ...

Added: November 8, 2026

MFL-ScrollNet: Recurrent Sliding-Window Detection for Panoramic Pipeline Magnetic Flux Leakage Images

Aleksei Samarin, Belous F., Торопов А. Г. et al., Technologies 2026 Vol. 14 No. 11 P. 1–21

Abstract Automated interpretation of magnetic flux leakage (MFL) data is central to condition assessment of long-distance oil and gas pipelines. Yet, full-resolution panoramas are difficult to process without either suppressing small anomalies through resizing or fragmenting elongated objects at sliding-window boundaries. We propose MFL-ScrollNet, a recurrent sliding-window detector that formulates panoramic analysis as an ordered sequence ...

Added: November 8, 2026

Proceedings 2026 IEEE International Conference on Joint Cloud Computing JCC 2026

IEEE Computer Society (Conference Publishing Services, CPS), 2026.

Added: November 7, 2026

Detecting the undetectable: benchmarking AI-generated text

Sergey Avdoshin, Elena Pesotskaya, Saleh H. et al., Procedia Computer Science 2026 Vol. 292 P. 1332–1341

The rapid development of generative large language models (LLMs) has intensified the need for reliable methods capable of distinguishing AI-generated text from human writing, especially in academic and professional settings. This paper presents the results of a systematic benchmarking study evaluating the performance and limitations of contemporary LLM-text detectors applied to Russian-language academic content. We introduce ...

Added: November 7, 2026

PrimeKV: Preserving critical KV cache without attention scores for long-context inference

Zhang Z., Ilvovsky D., Neurocomputing 2027 Vol. 710

Efficient management of the Key-Value (KV) cache is essential for deploying large language models (LLMs) in long-context scenarios, where memory requirements often exceed the capacity of resource-constrained hardware. Many existing training-free compression algorithms typically rely on attention-driven heuristics, but exhibit two key limitations. First, they require explicit attention score computation, which is difficult to reconcile ...

Added: November 5, 2026

A Multimodal Framework for Aphasia Severity Classification in Russian

Kolmogorova A., Ekaterina Yavshitz, Margolina A. et al., Association for Computational Linguistics, 2026.

Automatic classification of aphasia severity presents persistent challenges, particularly for languages with limited clinical speech re sources such as Russian. This paper explores a multimodal approach to severity estimation that combines acoustic and semantic representa tions of pathological speech. Acoustic features are extracted using pretrained Wav2Vec 2.0 models, while semantic information is obtained from the ...

Added: November 4, 2026

Findings of the Association for Computational Linguistics: EMNLP 2026

Association for Computational Linguistics, 2026.

Findings of the Association for Computational Linguistics: EMNLP 2026 ...

Added: November 3, 2026

PULSE: Psychological Characteristics Unified Learning via Speech-based Estimation

Abdulkhadirov T., Ryumina E., Ryumin D. et al., Expert Systems with Applications 2026 Vol. 334 P. 1–29

Assessing human psychological characteristics from speech requires models that can jointly capture affective states, expressive behavior, and relatively stable personality traits. However, most existing speech-based frameworks address isolated tasks and use separate task-specific models. This leads to model proliferation and complicates inference in real-world intelligent systems. Unified models are also difficult to develop because few ...

Added: November 3, 2026

Interpretable GNN with Stable Concepts as Neurons

Kuznetsov S., CEUR Workshop Proceedings 2026 Vol. Vol-4247 P. 27–32

A method for constructing interpretable graph neural networks based on an ordered subsets of "interesting" formal concepts is proposed. Interestingness indices for selecting concepts are compared, namely frequency (extent size) and Δ-stability. The experimental results demonstrate that Δ-stability provides superior performance of the generated networks at the inference stage. ...

Added: November 2, 2026

О длине адаптивной различающей последовательности для семейства наблюдаемых автоматов

Бурдонов И. Б., Evtushenko N. V., Косачев А. С., Труды Института системного программирования РАН 2025 Т. 37 № 6-1 С. 7–20

В статье исследуется длина адаптивной различающей последовательности для семейства инициальных полностью определенных наблюдаемых, возможно, недетерминированных автоматов. Приводится верхняя оценка длины такой последовательности и показывается ее достижимость. Обсуждается, каким образом полученные результаты можно применить при построении адаптивных диагностических тестов на основе конечно-автоматной модели. ...

Added: October 31, 2026

К организации системы запросов в распределенной сети с кластерами диаметра не больше 2

Бурдонов И. Б., Evtushenko N. V., Косачев А. С. et al., Труды Института системного программирования РАН 2026 Т. 38 № 4-1 С. 7–24

В статье усовершенствуется предложенная в предыдущей статье авторов модель кластеризованной распределённой сети с опросом, соответствующая сервис-ориентированной архитектуре. Целью опроса является нахождение ближайшего узла, готового оказать требуемую услугу (сервис) как можно раньше. Предлагаемые алгоритмы обеспечивают достижимость узлов, отсутствие дублирования сообщений, и обмен сообщениями с найденным узлом по кратчайшему пути. Кластеризованность сети означает, что в графе сети ...

Added: October 31, 2026

Идентификация финального состояния в автоматах с таймаутами и временными ограничениями

Твардовский А. С., Бурдонов И. Б., Evtushenko N. V., Труды Института системного программирования РАН 2026 Т. 38 № 4-2 С. 7–22

В статье вводятся понятия установочной и синхронизирующей последовательностей для конечных автоматов с временными ограничениями и таймаутами. Такие последовательности широко используются для идентификации финального состояния исследуемого автомата как при синтезе тестов на основе формальных моделей, так и при обучении конечно-автоматных моделей. Метод синтеза установочных и синхронизирующих последовательностей основан на использовании конечно-автоматной абстракции временного автомата, поскольку методы ...

Added: October 31, 2026

К организации системы запросов в распределенной сети с кластерами-кликами

Бурдонов И. Б., Evtushenko N. V., Косачев А. С. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3-1 С. 7–32

В статье предложена модель кластеризованной распределённой сети для обработки запросов. В такой сети узлы являются вычислительными единицами, и каждый узел может запросить ту или иную услугу, которая может быть оказана каким-то другим, но заранее неизвестным, узлом сети. Для этого осуществляется опрос сети аналогичный поиску в ширину для того, чтобы найти ближайший узел с необходимыми свойствами. ...

Added: October 31, 2026

Low-energy collective excitations in a gold monolayer, Vyacheslav Silkin and Maxim Kagan Working papers by Cornell University Series cond-mat other “arxiv org” 2610. 31805 22 Oct. 2026

Kagan M., / Series Series "arxiv org" 2610.31805 "cond-mat other "arxiv org" 2610.31805". 2026. No. 2610.31805.

Abstract The low-energy plasmonic properties of a free-standing Au (111) monolayer, frequently referred to as goldene, are investigated by time-dependent density functional theory in the random phase approximation. In the evaluation of dielectric and loss functions, the first-principle, band structure characterized by a single s − p energy band at the Fermi level is taken ...

Added: October 27, 2026

Average Connection Establishment Time in Random Access Channel with Limited Resources

Батыгин А. А., Бурков А. А., Tyurlikov A., IEEE, 2024.

In 4G and 5G cellular networks, a 4-step random access procedure is used. A significant challenge arises when a large number of users attempt to connect within a short period of time. To address this issue, the access class barring mechanism is employed. There are numerous studies that analyze the average connection time for users ...

Added: October 24, 2026

A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection

Timur Teregulov, Elena R. Loubenets, / 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

Алгоритмическая власть: кибернетическая рациональность и политические следствия

Моисеев Г. В., Философия. Журнал Высшей школы экономики 2026 Т. 10 № 3 С. 73–100

This article examines algorithmic power, understood as a form of power based on the collection and analysis of data for the purpose of modelling and pre-emptively shaping possible behavior, through the lens of Michel Foucault’s analytics of power. Drawing on a critical engagement with the concepts of algorithmic governmentality developed by Antoinette Rouvroy and Thomas ...

Added: September 17, 2026