Zobrazeno 1 - 10
of 20
pro vyhledávání: '"M.A. Mitrokhin"'
Publikováno v:
Известия высших учебных заведений. Поволжский регион:Технические науки, Iss 2 (2024)
Background. Currently, there is an intensive search for solutions in the field of creating infrastructure for network applications, for example, for the decentralized Internet based on several main technologies: blockchain, machine learning, Semant
Externí odkaz:
https://doaj.org/article/86260205488947489516aeab8ad4a9b8
Publikováno v:
Известия высших учебных заведений. Поволжский регион:Технические науки, Iss 1 (2024)
Relevance and goals. Most network distributed computing systems (DCS) implement “client-server” and “master-slave” applications. It is relevant to create applications with an arbitrary structure consistent with the functional architecture o
Externí odkaz:
https://doaj.org/article/efe443d629ee455e8d59f2c1c6674985
Autor:
A.V. Kozhevnikova, M.A. Mitrokhin
Publikováno v:
Модели, системы, сети в экономике, технике, природе и обществе, Iss 1 (2024)
Background. Generally, haze can be considered to be one of the most fundamental phenomena causing image visibility degradation. Numerous haze removal approaches have been proposed and most of them have achieved significant progress. In this paper t
Externí odkaz:
https://doaj.org/article/9598e305094f42e481bc4dd98d091b7f
Publikováno v:
Известия высших учебных заведений. Поволжский регион:Технические науки, Iss 3 (2023)
Background. Based on the proposed methodology for deep structuring of knowledge in a semantically-oriented intelligent computing environment based on expanding the descriptive capabilities of Petri nets by integrating them with conceptual graphs, a
Externí odkaz:
https://doaj.org/article/3d688d14e4064461a2cbe1f2da0ddd82
Publikováno v:
Известия высших учебных заведений. Поволжский регион:Технические науки, Iss 2 (2023)
Background. A technique for deep knowledge structuring in a semantic-oriented intelligent computing environment based on the expansion of the descriptive capabilities of Petri nets by integrating them with conceptual graphs is proposed. One of the
Externí odkaz:
https://doaj.org/article/f940d673e4df4ed8ba6e970fb86072ac
Publikováno v:
Модели, системы, сети в экономике, технике, природе и обществе, Iss 4 (2022)
Background. The methods of protecting Internet auction sites from automated software, the use of which leads to unfair competition, are considered. Materials and methods. The analysis of existing methods of protecting Internet sites from bots is ca
Externí odkaz:
https://doaj.org/article/9f193f4199c34f5db4179e9a7a17054e
Autor:
V.D. Sazykina, M.A. Mitrokhin
Publikováno v:
Модели, системы, сети в экономике, технике, природе и обществе, Iss 3 (2021)
Background. The main disadvantages of traditional approaches to detecting moving objects in a video stream are considered. The need for new approaches based on indepth learning is justified. Materials and methods. As a promising direction in solvin
Externí odkaz:
https://doaj.org/article/c4ac72d6c4534fd4a5c93faf941ff443
Autor:
A.K. Alimuradov, A.Yu. Tychkov, P.P. Churakov, A.V. Ageykin, A.V. Kuz'min, M.A. Mitrokhin, I.A. Chernov
Publikováno v:
Известия высших учебных заведений. Поволжский регион:Технические науки, Iss 2 (2021)
Background. Speech/pause segmentation is one of the most important tasks in speech applications being accurate detection of the boundaries of the beginning and the end of voiced and unvoiced speech, and pauses. This is especially important both whe
Externí odkaz:
https://doaj.org/article/95a48ccef92440cd808e0f15aae01e10
Akademický článek
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Publikováno v:
Procedia Computer Science. 186:588-594
The article discusses a method to increase the efficiency of evolutionary genetic search in coding of modular network structures. A method for unfolding a genotype to form a phenotype using production rules generated by applying formal apparatus of L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1890f5e6008db22d9da990a145d79574
https://doi.org/10.1016/j.procs.2021.04.180
https://doi.org/10.1016/j.procs.2021.04.180