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Абросимова Е. А., Вайпан В. А., Ворожевич А. С., Голиченков А. К., Дранжевский М. Д., Зайченко Е. В., Кирсанова Е. Е., Козлова Н. В., Костян И. А., Куренной А. М., Латус Е. Б., Малютин Н. С., Ovcharova E., Саженов А. В., Северин В. А., Ткачев А. В., Уали Е. З., Харитонова Ю. С. М.: Статут, 2019.
Portnoy S., Efremov A., Voloshin A., , in: 2026 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO).: IEEE, 2026. P. 1–4.
This paper presents a deep learning-based optimization of a list-decoding algorithm for a concatenated Hamming-Reed-Solomon code transmitted over an AWGN channel with BPSK modulation. The proposed method reformulates early termination of the erasure-pattern list as a weighted regression problem, addressing class imbalance through an asymmetric Weighted Mean Squared Error (WMSE) loss function that penalizes index ...
Added: October 1, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., , in: Pattern Recognition. ICPR 2024 International Workshops and Challenges.: Cham: Springer, 2025. P. 308–320.
This research explores an innovative approach to enhancing the accuracy of detecting small microorganisms in complex microscopic environments. Our study introduces a streamlined, hybrid image pre-processing model specifically designed to address the challenges of identifying diplococci in live microscopy of dynamic samples. By integrating pre-defined filtering techniques with predictive adjustments for optimal applicability, our method ...
Added: September 21, 2026
Lebedev O. B., Шмелева А. Г., Гежа Н. С., Информатика и автоматизация (Труды СПИИРАН) 2026 Т. 25 № 3 С. 720–750
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
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
Stukach O., Ershov I., Dvurechenskaya N., , in: 2025 Dynamics of Systems, Mechanisms and Machines (Dynamics). International scientific and technical conference Omsk State Technical University, Omsk, Russia.: IEEE, 2025. P. 1–4.
The growing complexity of urban infrastructure increased the efficiency of heat supply, which must be ensured by the efficient and sustainable operation of supply organizations. Overspending of heating energy or decrease in thermal comfort follows to decrease of control quality. Systemically, the heat consumption of residential buildings on a whole city is a set of ...
Added: August 19, 2026
Podolskaia E., Вопросы лесной науки 2022 Т. 5 № 4 Статья 115
Paper presents an overview of history and current research state on the use of remote sensing data from
space to recognize roads for the regional projects. We have characterized principles of road detection on the imagery. A group of direct deciphering signs used in combinations such as brightness and texture, geometry and
brightness. Three research directions with ...
Added: June 25, 2026
Seul: PMLR, 2026.
Added: June 4, 2026
Davydov S. G., Федоров В. В., Социологические исследования 2026 № 5 С. 141–147
Представлены результаты измерения ИИ-грамотности взрослого населения России. Исследование решает проблему отсутствия эмпирических данных о фактическом уровне владения компетенциями в сфере искусственного интеллекта среди граждан. Методика основана на самооценке владения пятью типами ИИ-инструментов по 5‑балльной шкале и последующем индексировании. Сбор информации осуществлен методом телефонного опроса (CATI) на общероссийской выборке проекта «ВЦИОМ–Спутник» (N = 1600). Выявлен уровень ...
Added: May 13, 2026
Kirsanova E., Pakshin P., Право и экономика 2026 № 3 (456) С. 26–34
The article examines the legal regime of intellectual property created by artificial intelligence. Changes to the existing legal framework towards recognizing artificial intelligence as a legal entity would violate the rationale and fundamental principles of the intellectual property rights system. This article provides an overview of different views on the rationale for granting copyright to ...
Added: April 28, 2026
Ivanov N., Вестник экономического правосудия Российской Федерации 2026 № 4 С. 77–93
В статье исследуются особенности правового режима производных и составных произведений применительно к ситуациям, когда изначально такие произведения использовались с согласия правообладателя оригинального произведения, однако в последующем правовое основание, опосредовавшее дачу такого согласия, отпало в связи с прекращением лицензионного договора, отзывом правообладателем одностороннего согласия, прекращением действия договора доверительного управления или агентского договора, на основании которого действовал ...
Added: April 16, 2026
Ivanov N., Закон 2026 № 1 С. 32–42
В статье рассматриваются особенности и перспективы правовой охраны малотворческих и технических фотографий. В результате проведенного исследования предложены две альтернативные модели правовой охраны фотографий: авторско-правовая модель с определенными уточнениями и дуалистическая модель, предполагающая авторско-правовую охрану оригинальных фотографий и смежно-правовую охрану неоригинальных фотографий. Доказывается, что реализация любого из предложенных вариантов развития института правовой охраны фотографий должна исключать ...
Added: February 9, 2026
Antipkina I., Иванущенко А. В., Калабина И. А. et al., Мир психологии. Научно-методический журнал 2025 № 4(123) С. 295–316
Low-quality test items pose significant risks of biased and inaccurate assessment in higher education. In this study, multi-disciplinary test banks were examined, first, using classical test theory and then using a Large Language Model (Grok). Our findings reveal a number of problems in university test items due to methodological shortcomings rather than content inaccuracies. Based ...
Added: January 22, 2026
Матвеев А. Г., Perm University Herald. Juridical Sciences 2016 No. 33 P. 348–353
Introduction: as is known, there are two key copyright law traditions: Anglo-American and Romano-Germanic copyright laws. At the same time, copyright law of the main representatives of Romano-Germanic tradition is not homogeneous, as it may seem at first glance. French and German copyright law is in the vanguard of the continental copyright law, with the ...
Added: December 24, 2025
Popova A., Иностранные языки в школе 2024 № 9 С. 75–83
The article describes ways of using generative artificial intelligence to create tasks in foreign languages. The relevance of the integration of information technologies is emphasized, since they allow not only to diversify the types of proposed tasks and their format, providing opportunities for their differentiation and individualization, but also to reduce the teacher’s time preparation for the ...
Added: December 20, 2025
Popova A., Иностранные языки в школе 2024 № 10 С. 78–85
The development of artificial intelligence technologies, and neural networks in particular, is accelerating every day. The process of their integration into foreign language teaching is becoming increasingly obvious to teachers and students. Thanks to the various functions of neural networks, new opportunities for teaching foreign languages are opening up. This article is a continuation of ...
Added: December 20, 2025
Popova A., Иностранные языки в школе 2025 № 1 С. 76–83
The development of artificial intelligence technologies, and neural networks in particular, is accelerating every day. The process of their integration into foreign language teaching is becoming increasingly obvious to teachers and students. Thanks to the various functions of neural networks, new opportunities for teaching foreign languages are opening up. This article is a continuation of ...
Added: December 20, 2025
Dzhanashia K., Aleksandr Fedosov, Oleg Evsutin, Sensors 2025 Vol. 25 No. 23 Article 7726
Using an attack-simulation module is a well-recognized approach to improving the robustness of end-to-end neural-network-based data-hiding schemes. However, most proposed attack simulators are limited in the types of attacks they cover, usually handling only a basic set of digital transformations. Real, in-demand use cases for data-hiding methods may involve modifications that cannot be modeled by ...
Added: November 28, 2025
O.A. Goryunov, Maslennikov O. V., Kiselev M. V. et al., Chaos, Solitons and Fractals 2026 Vol. 203 Article 117663
Training complex, biologically plausible Spiking Neural Networks (SNNs) with local learning rules is a significant challenge for theoretical analysis. Here we address this problem by developing a comprehensive analytical theory for the learning dynamics of CoLaNET, a recently proposed columnar SNN. In particular, we consider a simplified model that captures the core algorithmic logic of ...
Added: November 28, 2025
Pakshin P., Актуальные проблемы российского права 2025 Т. 20 № 11 С. 11–18
The paper substantiates the necessity of providing legal protection for the results of intellectual works created by artificial intelligence through the mechanism of related rights. It examines ways to reduce legal risks associated with the creation of intellectual property using artificial intelligence technologies and offers a philosophical and legal analysis of the proposed hypothesis, namely, ...
Added: November 27, 2025
Prikhodko R., Moshkin A., Romanov A., , in: 2025 International Russian Automation Conference (RusAutoCon).: IEEE, 2025. P. 273–278.
The vertebral arteries are one of the most important sources of blood supply to the brain, therefore any pathological changes in them can be the reason behind serious diseases. Magnetic Resonance Imaging (MRI) allows diagnosticians to examine main arteries, which is exceptionally important for effective diagnosis. However, because of the small size of arteries relative ...
Added: November 6, 2025