Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Alexander Shukhman"'
Autor:
Ivan Khokhlov, Leonid Legashev, Irina Bolodurina, Alexander Shukhman, Daniil Shoshin, Svetlana Kolesnik
Publikováno v:
Toxics, Vol 12, Iss 10, p 750 (2024)
Predicting the toxicity of nanoparticles plays an important role in biomedical nanotechnologies, in particular in the creation of new drugs. Safety analysis of nanoparticles can identify potentially harmful effects on living organisms and the environ
Externí odkaz:
https://doaj.org/article/c53d4d21b2f44bd891b8fa08e80d87be
Publikováno v:
Engineering Proceedings, Vol 33, Iss 1, p 41 (2023)
The rapid growth in the volume of medical data is pushing the development and implementation of artificial intelligence (AI) tools. One of the directions of the application of AI in the field of healthcare is the use of natural language processing me
Externí odkaz:
https://doaj.org/article/9af4b968fa07435eaccfa1059fd1f7f0
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 854, Iss 24, Pp 345-350 (2019)
The winning in the multiplayer online game Dota 2 for teams is a sum of many factors. One of the most significant of them is the right choice of heroes for the team. It is possible to predict a match result based on the chosen heroes for both teams.
Externí odkaz:
https://doaj.org/article/15704970ca304d46a364b87a552ab313
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 388, Iss 17, Pp 269-275 (2015)
Existing approaches to the use of computing resources is too wasteful for educational institutions. Modern multimedia services require significant computing power, which are not always available. In this paper, we introduce an approach that allows mo
Externí odkaz:
https://doaj.org/article/c29b9a6dc8c14dafb4fc503a7e96dc2d
Autor:
Leonid Legashev, Irina Bolodurina, Lubov Zabrodina, Yuri Ushakov, Alexander Shukhman, Denis Parfenov, Yong Zhou, Yan Xu
Publikováno v:
Security and Communication Networks. 2022:1-18
Intelligent transport systems are the future in matters of safe roads and comfortable driving. Integration of vehicles into a unified intelligent network leads to all kinds of security issues and cyber threats common to conventional networks. Rapid d
Autor:
Margarita Ushakova, Denis Parfenov, Alexander Shukhman, Leonid Legashev, Yury A. Ushakov, Irina Bolodurina
Publikováno v:
Procedia Computer Science. 186:603-610
The rapid growth of networks and the increase in the value of information have led to a wide use of fog and boundary computing especially in the wireless networks of telecom operators. Creating models to study such networks is complicated due to the
Autor:
Alexander Shukhman, Elena Shukhman
Publikováno v:
Advances in Artificial Systems for Medicine and Education V ISBN: 9783030925369
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e002fe9e2408b190d777b222d51e363c
https://doi.org/10.1007/978-3-030-92537-6_15
https://doi.org/10.1007/978-3-030-92537-6_15
Publikováno v:
2020 International Conference Engineering and Telecommunication (En&T).
Currently, the use of intelligent data analysis methods allows us to solve applied problems that go beyond simple machine learning and determines the development vector for the possibility to automate all stages of this process. This article presents
Autor:
Alexander Shukhman, Jie Cui, Aleksandr Bolodurin, Margarita Ushakova, Yuriy Ushakov, Leonid Legashev
Publikováno v:
2020 International Conference Engineering and Telecommunication (En&T).
This paper discusses the problems that arise with different ways of connecting virtual network switches with the OpenFlow mode. A technique for automated research of performance parameters of virtual switches with OpenFlow support is proposed. The st
Publikováno v:
Procedia Computer Science. 103:543-548
This article describes a cloud educational resource datacenter (CERD) as the means of providing an economically profitable remote access to paid and free software for educational facilities. The problem of efficient CERD scheduling for optimizing the