Zobrazeno 1 - 10
of 343
pro vyhledávání: '"Shalyto A"'
Autor:
Denis A. Sidorenko, Anatoly A. Shalyto
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 4, Pp 594-601 (2024)
The research presents the development of a heterogeneous graph neural network model for predicting gene-disease using existing genomic and medical data. The novelty of the approach is in integrating the principles of graph neural networks and heterog
Externí odkaz:
https://doaj.org/article/1114c058cce74923a1aac023b96842b9
Autor:
Hammoud, Jaafar, Vatian, Aleksandra, Dobrenko, Natalia, Vedernikov, Nikolai, Shalyto, Anatoly, Gusarova, Natalia
The Arabic language suffers from a great shortage of datasets suitable for training deep learning models, and the existing ones include general non-specialized classifications. In this work, we introduce a new Arab medical dataset, which includes two
Externí odkaz:
http://arxiv.org/abs/2106.15236
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 23, Iss 5, Pp 989-1000 (2023)
Solving the problem of predicting the immune response against foreign protein sequence fragments processed by cells is one of the major milestones on the road to the personalized cancer vaccine development. The selection of peptides participating i
Externí odkaz:
https://doaj.org/article/d7f4674fa6e541f6807ff0e82ac8a0bc
Autor:
Sidorenko, Denis1, Shalyto, Anatoly1
Publikováno v:
International Conference on eHealth. 2024, p244-248. 5p.
Autor:
Sidorenko, Denis1, Shalyto, Anatoly1
Publikováno v:
International Conference on eHealth. 2024, p229-232. 4p.
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 22, Iss 6, Pp 1178-1186 (2022)
A regular condition, typical for packet routing, for the problem of cargo transportation, and for the problem of flow control, is the variability of the graph. Reinforcement learning based adaptive routing algorithms are designed to solve the routing
Externí odkaz:
https://doaj.org/article/3f9222e31d4642d9b2401398b9c1afad
Autor:
Konstantin E. Rybkin, Andrey A. Filchenkov, Artur A. Azarov, Alexey S. Zabashta, Anatoly A. Shalyto
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 22, Iss 6, Pp 1187-1196 (2022)
We focus on the problem of routing a conveyor belts system based on a multi-agent approach. Most of these airport baggage belt conveyor systems use routing algorithms based on manual simulation of conveyor behavior. This approach does not scale well,
Externí odkaz:
https://doaj.org/article/7e98edf48d9f48beb3ce7b29f9d3bf70
Autor:
Anatoly A. Shalyto
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 23, Iss 2, Pp 436-438 (2023)
The paper presents a new view on the quality assurance of state machine programs. Instead of the term “verification of state machine programs”, it is proposed to use the terms “verification of state machine models” and “validation of state
Externí odkaz:
https://doaj.org/article/3b46767f839946608eca90dfc521cddb
Publikováno v:
Моделирование и анализ информационных систем, Vol 29, Iss 3, Pp 228-245 (2022)
When data-driven algorithms, especially the ones based on deep neural networks (DNNs), replace classical ones, their superior performance often comes with difficulty in their analysis. On the way to compensate for this drawback, formal verification t
Externí odkaz:
https://doaj.org/article/2f84b372c3c14b909d82a02a5e0d183e
Autor:
Grigory F. Shovkoplias, Dmitriy A. Strokov, Daniil V. Kasantsev, Aleksandra S. Vatian, Arip A. Asadulaev, Ivan V. Tomilov, Anatoly A. Shalyto, Natalia F. Gusarova
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 22, Iss 3, Pp 559-566 (2022)
Improving the efficiency of communication of deaf and hard of hearing people by processing sign language using artificial intelligence is an important task both socially and technologically. One of the ways to solve this problem is a fairly cheap and
Externí odkaz:
https://doaj.org/article/4e37f331a20f4118a8d9ae121a735120