Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Vladislav Kukartsev"'
Publikováno v:
2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH).
Autor:
Vadim Tynchenko, Sergei Kurashkin, Valeriya Tynchenko, Vladimir Bukhtoyarov, Vladislav Kukartsev, Roman Sergienko, Viktor Kukartsev, Kirill Bashmur
Publikováno v:
Metals, Vol 11, Iss 5, p 697 (2021)
The waveguides used in spacecraft antenna feeders are often assembled using external couplers or flanges subject to further welding or soldering. Making permanent joints by means of induction heating has proven to be the best solution in this context
Externí odkaz:
https://doaj.org/article/75dc4b6fa39f42b38197fb2458b68260
Publikováno v:
Journal of Applied Engineering Science. 20:150-159
The paper considers the identification of nonlinear dynamic processes using kernel algorithms. Kernel algorithms rely on a nonlinear transformation of the input data points into a high-dimensional space that allows solving nonlinear problems through
Publikováno v:
European Proceedings of Computers and Technology.
Autor:
Anna Shutaleva, Nikita Martyushev, Zhanna Nikonova, Irina Savchenko, Vladislav Kukartsev, Vadim Tynchenko, Yadviga Tynchenko
Publikováno v:
Sustainability
Volume 15
Issue 4
Pages: 3011
Volume 15
Issue 4
Pages: 3011
One of the significant factors in the sustainability of education is the development of inclusive education. An inclusive educational space implies openness and accessibility of education for students, regardless of their educational needs. Inclusive
Autor:
Daria Rogova, Sergei Kurashkin, Vadim Tynchenko, Yuriy Seregin, Andrey Privalov, Vladislav Kukartsev
Publikováno v:
VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021).
Autor:
Anton Mikhalev, Vadim Tynchenko, Vladimir Nelyub, Nina Lugovaya, Vladimir Baranov, Vladislav Kukartsev, Roman Sergienko, Sergei Kurashkin
Publikováno v:
Symmetry; Volume 14; Issue 10; Pages: 2036
The quality of operation of neural networks in solving application problems is determined by the success of the stage of their training. The task of learning neural networks is a complex optimization task. Traditional learning algorithms have a numbe
Publikováno v:
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).
Publikováno v:
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).
Autor:
Vladislav Kukartsev, Elizaveta Shutkina, Kristina Moiseeva, Larisa Korpacheva, Timofey Kireev
Publikováno v:
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).