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Особенности программных и аппаратных средств для оптимизации инференса обученных нейронных сетей в рамках среды OpenVINO
С. 204–212.
Demidovskij A.
In book
Т. 2. , М.: МФТИ, 2019.
Lebedev O. B., Черкасов Р. И., Известия ЮФУ. Технические науки 2025 № 5(247) С. 254–276
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 ...
Added: September 10, 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
Makarov N., Savchenko A., Zemtsova I. et al., Scientific Reports 2025 Vol. 15 Article 26641
The grey wolf (Canis lupus) is a pivotal species for ecological studies. As a key participant in ecosystem
processes, it also serves as a model for investigating social structure formation and ecological
adaptation. However, the species’ complex social behavior, spatial dynamics, and expansive habitats
make monitoring and population assessments across large areas particularly challenging. In recent
years, audio traps ...
Added: June 16, 2026
Vasilev R., Savchenko A., Blinov P. et al., Frontiers in Medicine 2026 Vol. 13 Article 1778404
Automated disease screening systems face challenges when applied to multi-class medical image analysis, particularly under severe class imbalance inherent in clinical datasets. Retinal fundus imaging enables non-invasive screening for multiple ocular and systemic diseases simultaneously, yet current automated systems typically assess risk for only a single pathology or a limited disease range. We developed a ...
Added: June 16, 2026
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
Hushchyn M., Arzymatov K., Derkach D., Machine Learning 2026 Vol. 115 Article 56
Moments when a time series changes its behavior are called change points. Occurrence of change point implies that the state of the system is altered and its timely detection might help to prevent unwanted consequences. In this paper, we present two change-point detection approaches based on neural networks and online learning. These algorithms demonstrate linear ...
Added: March 6, 2026
Kseniia Prokudina, Mikhail Skriplyonok, Alexander Vostrikov, , in: 2026 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).: IEEE, 2026. P. 842–847.
This article analyzes the evolution of digital image manipulation detection methods over the 2016–2026 decade. It examines the transition from classic passive methods (ELA, metadata analysis, and noise pattern analysis) to deep neural network architectures (VGG16+U-Net, ManTra-Net, SPAN, and RDS-YOLOv5) and then to multimodal systems based on large language models (ForgeryGPT and FakeShield), which provide ...
Added: February 25, 2026
Fedotov G., Международный вестник криминалистики 2024 № 92 С. 77–83
В последние годы наблюдается значительный прогресс в качестве синтетически сгенерированного контента. Кроме того, регулярно появляются инструменты, с помощью которых обычный пользователь персонального компьютера может создать реалистичный поддельный контент. В работе исследуется развитие генеративных моделей в задаче Face Synthesis, а также способы обнаружения дипфейков, созданных с помощью моделей этого класса. Представленные в работе подходы показали хорошую ...
Added: September 24, 2025
Teplova T., Fayzulin M., Kurkin A., Socio-Economic Planning Sciences 2025 No. 101 Article 102292
This research is devoted to the development and evaluation of the effectiveness of machine learning and deep learning models for forecasting crisis phenomena in the Russian stock market. The work covers the period from the beginning of 2014 to June 2024, using the IMOEX index as the main indicator of the market condition. Special attention ...
Added: August 2, 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
Walton S., Klyukin V., Artemev M. et al., , in: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).: IEEE, 2025. P. 3328–3337.
Explicit density learners are becoming an increasingly popular technique for generative models because of their ability to better model probability distributions. They have advantages over Generative Adversarial Networks due to their ability to perform density estimation and having exact latent-variable inference. This has many advantages, including: being able to simply interpolate, calculate sample likelihood, and ...
Added: April 1, 2025
Boldyrev A., Derkach D., Ratnikov F. et al., EPJ Web of Conferences 2024 Vol. 295 Article 09008
Calorimeters are a crucial component for most detectors mounted on modern colliders. Their tasks include identifying and measuring the energy of photons and neutral hadrons, recording energetic hadronic jets, and contributing to the identification of electrons, muons, and charged hadrons. To fulfill these many tasks while keeping costs reasonable, the calorimeter construction requires good and ...
Added: January 8, 2025
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Journal of High Energy Physics 2024 Vol. 2024 No. 9 Article 82
A measurement of the transverse polarization of the Λ and Λ¯ hyperons in pNe fixed-target collisions at sNN = 68.4 GeV is presented using data collected by the LHCb detector. The polarization is studied using the decay Λ → pπ− together with its charge conjugated process, the integrated values measured are
PΛ=0.029±0.019(stat)±0.012(syst),PΛ¯=0.003±0.023(stat)±0.014(syst).
Furthermore, the results are shown as a function of the Feynman x variable, transverse momentum, pseudorapidity and rapidity ...
Added: December 6, 2024
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Physical Review D - Particles, Fields, Gravitation and Cosmology 2024 Vol. 110 No. 7 Article 7
A search for the lepton-flavor violating decays is presented, using a sample of proton-proton collisions at center-of-mass energies of 7, 8, and 13 TeV, collected with the LHCb detector and corresponding to a total integrated luminosity of 9 fb−1. The 𝜏 leptons are selected using decays with three charged pions. No significant excess is observed, and an upper limit on the ...
Added: December 6, 2024
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Journal of High Energy Physics 2024 Vol. 2024 No. 8 Article 93
A search for radiative decay of Bs0 mesons to orbitally excited K+K− states is performed using proton proton collisions recorded by the LHCb experiment, corresponding to an integrated luminosity of 9 fb−1. The dikaon spectrum in the mass range mKK < 2400 MeV/c2 is dominated by the ϕ(1020) resonance that accounts for almost 70% of the decay rate. Considering the possible contributions of f2(1270), f2′(1525) ...
Added: December 6, 2024
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Physical Review Letters 2024 Vol. 133 No. 13 Article 131902
A study of resonant structures in and 𝐵+→𝐷*−𝐷+𝐾+ decays is performed, using proton-proton collision data at center-of-mass energies of √𝑠 =7, 8, and 13 TeV recorded by the LHCb experiment, corresponding to an integrated luminosity of 9 fb−1. A simultaneous amplitude fit is performed to the two channels with contributions from resonances decaying to 𝐷*−𝐷+ and 𝐷*+𝐷− states linked by 𝐶 parity. This procedure allows the 𝐶 parities of resonances in ...
Added: December 6, 2024
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Physical Review D - Particles, Fields, Gravitation and Cosmology 2024 Vol. 110 No. 7 Article 072002
A sample of 𝑝𝑝 collision data, corresponding to an integrated luminosity of 5.5 fb−1 and collected by the LHCb experiment during LHC Run 2, is used to measure the ratio of the lifetime of the Ξ−𝑏 baryon to that of the Λ0𝑏 baryon, 𝑟𝜏 ≡𝜏Ξ−𝑏/𝜏Λ0𝑏. The value 𝑟𝜏 =1.076 ±0.013 ±0.006 is obtained, where the first uncertainty is statistical and the second systematic. This value is averaged with the corresponding value ...
Added: December 6, 2024
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Journal of High Energy Physics 2024 Vol. 2024 Article 122
The decays of the χb1(1P), χb2(1P), χb1(2P) and χb2(2P) mesons into the Υ(1S)μ+μ− final state are observed with a high significance using proton-proton collision data collected with the LHCb detector and corresponding to an integrated luminosity of 9 fb−1. The newly observed decays together with the Υ(2S) → Υ(1S)π+π− and Υ(3S) → Υ(2S)π+π− decay modes are used for ...
Added: December 6, 2024
Kazun A., Мониторинг общественного мнения: Экономические и социальные перемены 2024 № 5 С. 100–122
Advancements in artificial intelligence technologies and the emergence of open databases containing judicial decisions have led to rapid improvements in algorithms capable of classifying legal documents and forecasting decisions made by judges. This article examines a body of international research dedicated to the question of how accurately AI can predict judges’ decisions, and consequently, whether ...
Added: November 29, 2024
Pisarev V., Promyslov G., Timofeev A., В кн.: Суперкомпьютерные дни в России : Труды международной конференции. 23–24 сентября 2024 г.: МАКС Пресс, 2024. С. 238–239.
Оценочное тестирование эффективности вычислительных узлов суперкомпьютера cHARISMa для задач глубокого обучения ...
Added: November 13, 2024