Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Aleksei S. Bondar"'
Publikováno v:
2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d65a9bb4913a64f2e2b4cc38fdc652f
https://doi.org/10.1109/elconrus54750.2022.9755647
https://doi.org/10.1109/elconrus54750.2022.9755647
Publikováno v:
2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9467bdf3b88dedd0c3c7da8f137fdc5b
https://doi.org/10.1109/elconrus54750.2022.9755525
https://doi.org/10.1109/elconrus54750.2022.9755525
Publikováno v:
2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe38486c46c0f7c1b975712739387fd5
https://doi.org/10.1109/elconrus54750.2022.9755603
https://doi.org/10.1109/elconrus54750.2022.9755603
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
The article offers a solution of prediction of thermal conductivity for different grades of steel at different temperatures. To solve this problem, the authors consider the possibility of using a neural network based on the Bayesian method. The neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0c65029afa99eb6fa059cfdc00bf355
https://doi.org/10.1109/elconrus51938.2021.9396378
https://doi.org/10.1109/elconrus51938.2021.9396378
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
The paper describes two methods of 3D coupled-field nonlinear thermal-electrical simulation of induction heating devices. The first one uses multiphysics engineering simulation JMAG software, the second one – specialized Universal 3D program. The s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b53467f347598b0c390723148f617d2c
https://doi.org/10.1109/elconrus51938.2021.9396426
https://doi.org/10.1109/elconrus51938.2021.9396426
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
One of the problems in the field of electricity distribution is the selection of cable, which is primarily determined by the load power. However, the cross section is often calculated without taking into account the harmonic composition of the curren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bb18658ad7652269ae3f4c9df87dab7
https://doi.org/10.1109/eiconrus49466.2020.9039019
https://doi.org/10.1109/eiconrus49466.2020.9039019
Publikováno v:
2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP).
The analysis of the data approximation methods was carried out in the paper. The method of approximation using neural networks was chosen. A neural network was created to predict steel resistivity. For the created neural network, the training method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6155cb52d8620f89ecdcc6a783f8692
https://doi.org/10.1109/cscmp45713.2019.8976724
https://doi.org/10.1109/cscmp45713.2019.8976724