?
Тезисы конференции Нейронные сети послезавтра: проблемы и перспективы
2019.
Горбань А. Н., Дунин-Барковский В. Л., Крыжановский Б. В., Яхно В. Г.
Language:
Russian
Keywords: искусственные нейронные сети
Piontkovski D., / Series arXiv "math". 2026.
A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
Added: June 23, 2026
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Гущина В. А., / Series chemrxiv-2023-vpzhz-v2 "ChemRxiv". 2023.
All-inorganic perovskite CsPbBr3 and Cs4PbBr6 nanoparticles are being intensively studied due to their unique properties and wide range of applications; however, however, the nature of their optical properties is not yet fully understood due to the difficulty of synthesis of singlephase nanoparticles. In this article we describe the features of the synthesis of single-phase particles ...
Added: May 14, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 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
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 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
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
Rabchevskiy A., Ashikhmin E., Yasnitsky L., , in: Cyber-Physical Systems and Control II.: Springer, 2023. P. 535–544.
The problem of creating datasets for training and testing neural networks is described in the example of the task of social network management. A method of expert dataset synthesis based on experts’ knowledge of the subject area is proposed. The essence of the method lies in the fact that sets are generated randomly within the ...
Added: November 20, 2023
Skuratov M., Pugach N., [б.и.], 2021.
СБОРНИК ТЕЗИСОВ
МЕЖДУНАРОДНОЙ НАУЧНОЙ КОНФЕРЕНЦИИ
«УФИМСКАЯ ОСЕННЯЯ МАТЕМАТИЧЕСКАЯ ШКОЛА – 2021» ...
Added: April 16, 2022
Demidovskij A., Babkin E., Информационно-управляющие системы 2021 № 5 С. 40–50
Introduction: The construction of integrated neurosymbolic systems is an urgent and challenging task. Building neurosymbolic decision support systems requires new approaches to represent knowledge about a problem situation and to express symbolic reasoning at the subsymbolic level. Purpose: Development of neural network architectures and methods for effective distributed knowledge representation and subsymbolic reasoning in decision support systems in ...
Added: November 3, 2021
Demidovskij A., Тугарёв А. М., В кн.: I Национальный конгресс по когнитивным исследованиям, искусственному интеллекту и нейроинформатике.: М.: Общероссийская общественная организация «Российская ассоциация искусственного интеллекта», 2020. С. 89–98.
Современные нейросетевые методы позволяют получать результаты достаточного уровня качества для их использования при построении промышленных приложений. Поэтому возникает необходимость в системах, таких как OpenVINO Deep Learning Workbench, для анализа и оптимизации производительности нейронных сетей на целевых устройствах. В качестве основного инструмента для инференса используется открытая среда OpenVINO, предоставляющая широкие возможности оптимизации процесса выполнения сети на ...
Added: October 20, 2021
М.: Общероссийская общественная организация «Российская ассоциация искусственного интеллекта», 2020.
В этом сборнике публикуются аннотации пленарных и индустриальных докладов, а также докладов симпозиумов, сделанных на I Национальном конгрессе по когнитивным исследованиям, искусственному интеллекту и нейроинформатике, который объединил в 2020 году четыре конференции:
Восемнадцатая национальная конференция по искусственному интеллекту с международным участием,
IX Международная конференция по когнитивной науке,
XXII Международная научно-техническая конференция «Нейроинформатика-2020»,
Конференция Российского физиологического общества им. И.П. Павлова. ...
Added: October 20, 2021
Mikhaylevskiy S., Chernyavskiy V., Pavlishen V. et al., , in: 2021 International Seminar on Electron Devices Design and Production (SED).: IEEE, 2021. P. 1–6.
The last decades have witnessed rapid IoT technologies development, which provided ubiquitous human-computer interactions. Building intelligent systems of various types, among which emotion recognition systems, is important challenge nowadays. Especially pressing problem is to build a real-time portable system which can be embedded in low performance hardware. We propose a high accuracy emotion recognition system, ...
Added: August 8, 2021
Solovyev R. A., Telpukhov D. V., Romanova I. I. et al., , in: Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021.: IEEE, 2021. P. 2029–2034.
The paper proposes methodology for transferring architecture of modern neural network CenterNet to FPGA. CenterNet is a OneStage object detector that is used to detect and locate objects in images. Although this neural network has simple decoder, it shows good performance in terms of accuracy. Very high operation speed of the neural network hardware is ...
Added: August 8, 2021
Demidovskij A., Babkin E., Нейрокомпьютеры: разработка, применение 2021 Т. 23 № 2 С. 5–14
The construction of integrated sub-symbolic systems is considered to be an important scientific direction where the expression of symbolic rules in the form of a neural network plays a key role. At the same time, there is an actual task of creating neural architec- tures for solving complex intellectual tasks without preliminary testing for modeling ...
Added: June 8, 2021
Demidovskij A., В кн.: 25 Нижегородская сессия молодых ученых (технические, естественные, гуманитарные науки): материалы тезисов и докладов.: Н. Новгород: НРЛ, 2020. С. 44–45.
The construction of integrated sub-symbolic systems is an important scientific task. The implementation of symbolic rules, such as the aggregation of linguistic assessments in decision-making, played a vital role in creating such systems in the form of neural network architectures. The pre-clade discusses the idea of combining symbolic and sub-symbolic calculation levels for ...
Added: April 2, 2021
Yasnitsky L., Пермь: Пермский государственный национальный исследовательский университет. – Электронные данные. , 2020.
The collection contains materials from the international conference "Intelligent systems in science and technology" and the Sixth all-Russian scientific and practical conference "Artificial intelligence in solving urgent social and economic problems of the XXI century", which was held on October 12-18, 2020 in Perm as part of the Perm natural science forum "Mathematics and global ...
Added: December 4, 2020
Piscataway: IEEE, 2020.
2020 International Joint Conference on Neural Networks (IJCNN) held virtually, as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020. IJCNN 2020 is jointly organized by the IEEE Computational Intelligence Society (CIS) and the International Neural Network Society (INNS). For IJCNN 2020 (and when WCCI is organized in even-numbered years) IEEE CIS ...
Added: October 15, 2020