Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Ianenko AS"'
Publikováno v:
In Transportation Research Procedia 2022 63:878-886
Publikováno v:
Platforms. 1:18-25
As innovative technologies spread, the role of means of interaction with customers in the digital environment is growing. Virtual reality technologies are becoming one of the most promising tools for significantly expanding customer interaction in th
Publikováno v:
Transportation Research Procedia. 63:878-886
Publikováno v:
E3S Web of Conferences, Vol 164, p 09015 (2020)
The paper studied the concept of "brand identity" as a planned brand image that defines the direction for all marketing activities of a company. The authors developed an algorithm for constructing a system of characteristic features of the brand stra
Externí odkaz:
https://doaj.org/article/e7bb9b509eca40a1859bb02d0c0fa7d8
Використання функцій дійсної змінної в криптосистемах як ключів дозволяє збільшити їх криптографічну силу, оскільки вибір таких ключі
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2001::a26682047006c2d94251a153978fe58b
https://essuir.sumdu.edu.ua/handle/123456789/85299
https://essuir.sumdu.edu.ua/handle/123456789/85299
Autor:
Alexey Safaraleev, Aleksandr Ianenko, Georgii Sarapulov, Alexander Artamonov, Dongki Noh, Sergey E. Bogomolov
Publikováno v:
CDC
We present an on-line approach for coverage path planning in 2D grid environments based on reinforcement learning. We used actor-critic architecture with convolutional layers to learn an agent’s policy from simulated limited-range sensor observatio
Publikováno v:
E3S Web of Conferences, Vol 164, p 09015 (2020)
The paper studied the concept of "brand identity" as a planned brand image that defines the direction for all marketing activities of a company. The authors developed an algorithm for constructing a system of characteristic features of the brand stra
Context. Recognizing the type of function regardless of its parameters is an urgent task. Objective. To develop methods for the operational quantitative measurement of deviations of the type of the analyzed function, representing the analyzed process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2001::0df616b0645044fbb2ac9de6b5b8bfb7
https://essuir.sumdu.edu.ua/handle/123456789/82787
https://essuir.sumdu.edu.ua/handle/123456789/82787
Publikováno v:
Bulletin of Krasnoyarsk State Pedagogical University named after V.P. Astafiev. 42:78-88
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 940:012054