Zobrazeno 1 - 10
of 21 904
pro vyhledávání: '"Tsvetkov"'
Publikováno v:
Vestnik MGTU, Vol 26, Iss 4, Pp 410-421 (2023)
The speed of implementation of electric vehicles depends on the level of development of the charging infrastructure, which is subject to ever new requirements, including increasing ease of use and reducing charging time. A solution to the problem cou
Externí odkaz:
https://doaj.org/article/66c7ba4130b24dbfbfa90c95d1658299
Publikováno v:
Vestnik MGTU, Vol 25, Iss 4, Pp 365-377 (2022)
The development of electric transport is inextricably linked with the modernization of the associated infrastructure, and one of the factors for the slow introduction of electric transport in Russia is the small number of charging stations. But most
Externí odkaz:
https://doaj.org/article/8bfaef37b3d344dcaa0e268b892bacb6
Autor:
Kislov Vladimir, Tsvetkova Yuliya, Zaichenko Andrey, Podlesniy Dmitry, Tsvetkov Maxim, Salgansky Eugeny
Publikováno v:
E3S Web of Conferences, Vol 541, p 04002 (2024)
The change of the elemental composition of a layered charge consisting of particles of sulfur brown coal and marble during oxidation in a furnace heated to 1200°C has been studied. It has been determined that as coal burns out, the sulfur was releas
Externí odkaz:
https://doaj.org/article/8803211602a54514b69c10f354958e26
Autor:
Tsvetkov Maxim, Zaichenko Andrey, Podlesniy Dmitry, Latkovskaya Elena, Tsvetkova Yuliya, Kislov Vladimir
Publikováno v:
E3S Web of Conferences, Vol 498, p 02002 (2024)
In the present paper, the case of the brown algae Saccharina japonica from Aniva Bay (Sea of Okhotsk, Sakhalin Island) was investigated by a thermogravimetric analysis up to 700°C at different atmospheres. The elemental composition, lower heating va
Externí odkaz:
https://doaj.org/article/a1d94912510b48568346485f1199654e
Autor:
Tsvetkova Yuliya, Kislov Vladimir, Zaichenko Andrey, Tsvetkov Maxim, Salgansky Eugeny, Podlesniy Dmitry
Publikováno v:
E3S Web of Conferences, Vol 498, p 03001 (2024)
The influence of heating rate, temperature and particle size of sulfur brown coal from the Moscow region on the yield of coke residue and its elemental composition was studied. The results can be useful in choosing a rational way of using the present
Externí odkaz:
https://doaj.org/article/0f8dfaa4d7ef42d9b08f7435c961ab79
Publikováno v:
BIO Web of Conferences, Vol 116, p 08001 (2024)
The aim of the study was to analyse trends and forecasting of tuberculosis mortality at the regional level by use of mathematical methods: linear regression and model based on artificial intelligence machine learning and to compare the results of acc
Externí odkaz:
https://doaj.org/article/77c191a023b84456a6906fe731d9d7e9
Publikováno v:
E3S Web of Conferences, Vol 474, p 01012 (2024)
In the present paper, biochar from the Laminaria japonica from brackish lagoons (Sea of Okhotsk, Sakhalin Island) was obtained by a stepwise pyrolysis at 500 °C. The properties of concerned biochar (elemental composition, specific surface area, part
Externí odkaz:
https://doaj.org/article/cc5555fa04ab40e6a11bba3e6f541c53
Conventional algorithms for training language models (LMs) with human feedback rely on preferences that are assumed to account for an "average" user, disregarding subjectivity and finer-grained variations. Recent studies have raised concerns that agg
Externí odkaz:
http://arxiv.org/abs/2410.16027
Autor:
Tsvetkov, Petr, Eliseeva, Aleksandra, Dig, Danny, Bezzubov, Alexander, Golubev, Yaroslav, Bryksin, Timofey, Zharov, Yaroslav
Commit message generation (CMG) is a crucial task in software engineering that is challenging to evaluate correctly. When a CMG system is integrated into the IDEs and other products at JetBrains, we perform online evaluation based on user acceptance
Externí odkaz:
http://arxiv.org/abs/2410.12046
Autor:
Feng, Shangbin, Wang, Zifeng, Wang, Yike, Ebrahimi, Sayna, Palangi, Hamid, Miculicich, Lesly, Kulshrestha, Achin, Rauschmayr, Nathalie, Choi, Yejin, Tsvetkov, Yulia, Lee, Chen-Yu, Pfister, Tomas
We propose Model Swarms, a collaborative search algorithm to adapt LLMs via swarm intelligence, the collective behavior guiding individual systems. Specifically, Model Swarms starts with a pool of LLM experts and a utility function. Guided by the bes
Externí odkaz:
http://arxiv.org/abs/2410.11163