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Расширение спектра задач решаемых интеллектуальной СППР за счет разработки модуля работы с нечеткой информацией
С. 56–58.
Bukharov O.
In book
М.: МИЭМ НИУ ВШЭ, 2016.
Dvoynikova A., Кагиров И., Карпов А. А., Информационно-управляющие системы 2022 № 5 (120) С. 12–22
Введение: решение автоматическими средствами задачи распознавания и оценивания степени вовлеченности пользователя в процесс человеко-машинного взаимодействия или телекоммуникации является актуальным в области компьютерного распознавания состояний человека. Это необходимо для проектирования приложений дистанционного обучения, бизнеса и развлечений. Цель: провести сравнительный анализ существующего информационного обеспечения и методов в области автоматического распознавания и оценивания вовлеченности пользователя в процесс человеко-машинного ...
Added: April 24, 2026
Alexander Demidovskij, Artyom Tugaryov, Igor Salnikov et al., , in: PRICAI 2025: Trends in Artificial Intelligence: 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17–21, 2025, Proceedings, Part IIIVol. 16453.: Springer, 2026. P. 603–612.
The backpropagation method is the predominant method for pre-training and fine-tuning of Large Language models. At the same time, it is considerably demanding in terms of memory and hardware. Therefore, it makes fine-tuning and pre-training very expensive, harmful for the environment due to the large carbon footprint, and raises the blocks for the development of ...
Added: April 21, 2026
Springer, 2026.
This proceedings contain the papers presented at the 22nd Pacific Rim International Conference on Artificial Intelligence (PRICAI), held on November 17–21, 2025 in Wellington, New Zealand. PRICAI 2025 was co-hosted with the 40th International Conference on Image and Vision Computing New Zealand (IVCNZ 2025) and the annual conference of the New Zealand Artificial Intelligence Researchers ...
Added: April 21, 2026
Babkina T. S., Долматов С. Н., Системы. Методы. Технологии 2024 Т. 1 № 61 С. 80–85
Древесно-минеральные композиты являются перспективным строительным материалом. Сочетание высоких теплоизо-ляционных показателей, экологичности, простой технологии производства, возможности вовлечения в производство низко-товарной древесины и древесных отходов позволяет найти применение такой технологии в сфере гражданского и промышленного строительства. Древесина, являясь продуктом жизнедеятельности растительных клеток, в своем составе содержит сахара и водорастворимые вещества, ухудшающие условия набора прочности гидратируемых вяжущих и ...
Added: April 13, 2026
Faizullin R., Imamov N., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 25 – 34.
This article considers a dual problem of optimizing field coverage while minimizing a soil compaction and managing energy constraints of agricultural robots. The soil compaction in precision agriculture is a major challenge, as mobile robots are becoming increasingly common in field operations. A proposed optimization combines a soil compaction risk assessment with energy-efficient trajectory planning ...
Added: March 17, 2026
Bernadotte A, Elfimov N., Menshikov I., Scientific data 2025 Vol. 13 No. 41
Accurate segmentation of brain vessels in magnetic resonance angiography (MRA) is essential for surgical procedures. Neural networks are powerful tools for medical image segmentation, but their development requires well-annotated datasets. However, publicly available MRA datasets with detailed vessel annotations are scarce. We present a dataset of 100 manually annotated brain MRA images from the IXI ...
Added: February 25, 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
Melman A., Evsyutin O., Knowledge-Based Systems 2025 Vol. 329 No. B Article 114429
Embedding additional information into digital images is an effective method of data privacy protection. A data hiding scheme needs to have a high level of imperceptibility to provide a high level of security. At the same time, it is necessary to maintain good capacity and ability to extract information in its original form. In this ...
Added: September 9, 2025
Yasnitsky L., Голдобин М. А., Прикладная информатика 2025 Т. 20 № 3(117) С. 85–100
Currently, artificial intelligence methods are widely used in the practice of serial production enterprises. They are used to detect defects, classify and eliminate them, identify the causes of defects, predict the quality and properties of the resulting product, select optimal parameters of the production process, and identify and study its patterns. However, outside the field ...
Added: July 10, 2025
Podchufarov A., Galkina A. N., Ванина С. С. et al., Экономика и управление: проблемы, решения 2025 Т. 5 № 4 С. 61–74
Under modern conditions, the introduction of artificial intelligence technologies is becoming a significant factor in the development of high-tech industries. The article presents the results of a study of the prospects for the use of intelligent analytical systems in nuclear energy. The experience of foreign countries is analyzed and the features of successful projects using ...
Added: June 5, 2025
Melman A., Evsyutin O., Senyukova O., Компьютерная оптика 2025 Т. 49 № 2 С. 273–281
The widespread use of digital content makes the task of protecting author’s and owner’s rights increasingly important, in particular with regard to digital images. Digital watermarking technology is an effective tool that solves many problems associated with proving authorship of images, verifying authenticity, and tracking illegal copying. An effective watermarking algorithm requires achieving high levels ...
Added: March 8, 2025
Sadrtdinov I., Kodryan M., Pokonechny E. et al., , in: 38th Conference on Neural Information Processing Systems (NeurIPS 2024).: [б.и.], 2024. P. 58445–58479.
Added: February 19, 2025
Aleksandr Belov, Zakharov F., Litvinenko E. et al., , in: International IoT, Electronics and Mechatronics Conference, Volume 2. Proceedings of IEMTRONICS 2024. LNEE, volume 1228Vol. 1228.: Springer Publishing Company, 2025. P. 275–287.
Added: January 26, 2025
Litvinenko N., IEEE Access 2024
Added: December 9, 2024
Demidovskij A., Трутнев А. И., Тугарев А. М. et al., , in: Frontiers in Artificial Intelligence and Applications: 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, SpainVol. 392.: IOS Press Ebooks, 2024. P. 3980–3986.
As modern neural network training and fine-tuning requires a lot of computational resources, there is a huge demand for novel, specialized algorithms for efficient and cost-effective training procedures. Aggressive Loss-based Elimination of Samples (ALOE) is an innovative method that operates with training samples based on losses obtained from a currently trained model or a pre-trained ...
Added: November 5, 2024
IOS Press Ebooks, 2024.
The field of AI has grown enormously since 1974, when a summer conference on Artificial Intelligence and Simulation of Behaviour was held in Brighton, UK. This milestone in the history of AI has since come to be thought of as the 1st European Conference on Artificial Intelligence (ECAI).
This book presents the proceedings of ECAI-2024, the ...
Added: November 5, 2024
Соколов А. П., Воеводкин В. С., Working papers by Cornell University. Series cond-mat.soft "arxiv.org" ( 2024
Modern storage systems intensively utilize data prefetching algorithms while processing sequencesof the read requests. Performance of the prefetching algorithm (for instance increase of the cache hitratio of the cache system – CHR) directly affects overall performance characteristics of the storagesystem (read latency, IOPS, etc.).There are widely known prefetching algorithms that are focused on the discovery ...
Added: October 8, 2024
Bulygina O. V., Kulyasov N.S., Yartsev D. D., Прикладная информатика 2024 Vol. 19 No. 1 P. 28–37
In recent years, bioinspired algorithms based on the use of a population approach and a probabilistic search strategy have become especially popular among researchers involved in multidimensional and multicriteria optimization. Such algorithms are based on the principles of cooperative behavior of a decentralized self-organizing colony of living organisms (bees, ants, birds, etc.) to achieve certain ...
Added: September 26, 2024
Кузалис А., Antoniou A., Rossides N. et al., BioSystems 2024 Vol. 245 Article 105312
The intersection of mathematical cognition, metacognition, and advanced technologies presents a frontier with profound implications for human learning and artificial intelligence. This paper traces the historical roots of these concepts from the Pythagoreans and Aristotle to modern cognitive science and explores their relevance to contemporary technological applications. We examine how the Pythagoreans' view of mathematics ...
Added: September 5, 2024
Dmitriy Demin, Ilya Grebenkin, International Journal of Advanced Manufacturing Technology 2024 Vol. 133 No. 7 P. 3461–3473
It is well known that residual stresses and accumulated deformations during drawing processes can influence mechanical properties of the resulting products. This paper proposes the use of machine learning methods, such as artificial neural networks (ANN) and polynomial regression, to gain insight into the nature of these distributions across the cross-section of round wires. The ...
Added: July 17, 2024