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检索条件"机构=Institute for System Programming of Russian Academy of Science"
649 条 记 录,以下是1-10 订阅
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On Solutions to Problems of Bottom Deformations with Allowance for Their Self-Similarity
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Power Technology and Engineering 2024年 第4期58卷 611-616页
作者: Petrov, A.G. Potapov, I.I. Epikhin, A.S. Ishlinsky Institute for Problems of Mechanics Russian Academy of Sciences Moscow Russia Khabarovsk Federal Research Center Computing Center Far East Branch of the Russian Academy of Sciences Khabarovsk Russia Ivannikov Institute for System Programming Russian Academy of Sciences Moscow Russia
A method for establishing a self-similar dependence of the bottom surface on time and spatial coordinate is proposed. The mean bottom tangential stresses are determined for a series of self-similar shapes of the botto... 详细信息
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Robust Resource Partitioning Approach for ARINC 653 RTOS
Robust Resource Partitioning Approach for ARINC 653 RTOS
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2023 Ivannikov ISPRAS Open Conference, ISPRAS 2023
作者: Cheptsov, Vitaly Khoroshilov, Alexey Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russia
Modern airborne operating systems implement the concept of robust time and resource partitioning imposed by the standards for aerospace and airborne-embedded software systems, such as ARINC 653. While these standards ... 详细信息
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How To Classify Document Segments Using Graph Based Representation and Neural Networks
How To Classify Document Segments Using Graph Based Represen...
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2024 Ivannikov Memorial Workshop, IVMEM 2024
作者: Kopylov, Daniil Mikhaylov, Andrey Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences Irkutsk Russia Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russia
Bottom-up segmentation approaches, where words are combined into lines, lines into paragraphs, etc., are well-known nowadays. In this work, we use this principle for classification of segments. The features of the blo... 详细信息
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Simulation of Vortex Interaction with a Shock Wave for Testing Numerical Algorithms
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Mathematical Models and Computer Simulations 2023年 第2期15卷 277-288页
作者: Kirushina, M.A. Elizarova, T.G. Epikhin, A.S. Keldysh Institute of Applied Mathematics Russian Academy of Sciences Moscow Russian Federation Ivannikov Institute for System Programming Russian Academy of Sciences Moscow Russian Federation
Abstract: The results of numerical simulation of the problem of the interaction of a vortex flow with a shock wave are presented on the example of using a quasi-gas dynamic (QGD) numerical algorithm, which is implemen... 详细信息
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Quasi-Hydrodynamic Approach for Simulating Internal Wave Attractors
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Mathematical Models and Computer Simulations 2022年 第4期14卷 547-558页
作者: Ryazanov, D.A. Ivannikov Institute of System Programming Russian Academy of Sciences Moscow Russian Federation
Abstract: On the example of the problem of modeling wave attractors in a stratified fluid, the advantages of the quasi-hydrodynamic (QHDFoam) algorithm over the classical algorithm of operator splitting (PISO) are dem... 详细信息
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Regularization of Machine Learning and Linear Algebra  24
Regularization of Machine Learning and Linear Algebra
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8th International Conference on Computer science and Artificial Intelligence, CSAI 2024
作者: Liu, Shuang Kabanikhin, Sergey Igorevich Strijhak, Sergei Vladimirovich Novosibirsk State University Akademgorodok Novosibirsk Russia Sobolev Institute of Mathematics Siberian Branch of the Russian Academy of Sciences Novosibirsk Russia Ivannikov Institute of System Programming of the Russian Academy of Sciences Moscow Russia
This paper explores the connection between systems of linear algebraic equations (SLAE) and machine learning methods, including regularization techniques, to establish a more novel neural network model based on linear... 详细信息
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The Position of the Upper Kama Dialect in the Komi Language Dialectal Area: Evidence from the LingvoDoc Platform
The Position of the Upper Kama Dialect in the Komi Language ...
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2023 Ivannikov ISPRAS Open Conference, ISPRAS 2023
作者: Bazhenova, Olga Ivannikov Institute for System Programming of the Russian Academy of Sciences 'Linguistic Platforms' Laboratory Moscow Russia
The Upper Kama dialect is spoken by the Komi ethnic group residing in the upper Kama River region. The idiom developed independently from the area of distribution of Komi dialects and existed solely in oral form. In K... 详细信息
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Classification of the Stavropol Dialect of the Estonian Language Based on Field Record Analysis Using Digital Methods
Classification of the Stavropol Dialect of the Estonian Lang...
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2023 Ivannikov ISPRAS Open Conference, ISPRAS 2023
作者: Dogadushkin, D. Normankaja, J. Ivannikov Institute for System Programming of the Russian Academy of Sciences 'Linguistic Platforms' Laboratory Moscow Russia
The question of accurate classification of a language or a dialect becomes particularly relevant when its speakers, due to migrations, find themselves in isolated regions. Geographically distant from their original pl... 详细信息
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Khanty Dialects at the Turn of the 18th-21st Centuries: Lexical and Phonetic Differences
Khanty Dialects at the Turn of the 18th-21st Centuries: Lexi...
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2023 Ivannikov ISPRAS Open Conference, ISPRAS 2023
作者: Moldanova, I.M. Institute for System Programming of the Russian Academy of Sciences 25 Alexander Solzhenitsyn st. Moscow109004 Russia
The article delves into the analysis of materials drawn from both the earliest written texts and contemporary field data, leveraging the sophisticated linguistic capabilities of Lingvodoc 3.0 [***]. Within the Khanty ... 详细信息
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A Study of Graph Neural Networks for Link Prediction on Vulnerability to Membership Attacks
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Journal of Mathematical sciences (United States) 2024年 第2期285卷 234-244页
作者: Shaikhelislamov, D. Lukyanov, K. Severin, N. Drobyshevskiy, M. Makarov, I. Turdakov, D. Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russian Federation Moscow Institute of Physics and Technology (National Research University) Moscow Russian Federation HSE University Moscow Russian Federation ISP RAS Research Center for Trusted Artificial Intelligence Moscow Russian Federation
Graph neural networks (GNNs) have shown great promise in a variety of tasks involving graph data, including recommendation systems. However, as GNNs become more widely adopted in practical applications, concerns have ...
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