Zobrazeno 1 - 10
of 2 000
pro vyhledávání: '"A. P. Avdeeva"'
Autor:
A. P. Avdeeva, Yu. A. Safonova
Publikováno v:
Вестник университета, Vol 0, Iss 8, Pp 175-184 (2024)
Digital technologies development stimulates game elements inclusion into culture and different spheres of society. The identification of regularities and specifics of this process became the purpose of the study. The research methodology was based on
Externí odkaz:
https://doaj.org/article/ea7bfdfc6c2542d3a8e350275288cd52
Autor:
A. P. Avdeeva, Yu. A. Safonova
Publikováno v:
Вестник университета, Vol 1, Iss 6, Pp 186-194 (2023)
The article analyzes the phenomenon of clip culture. Alvin Toffler’s information society dynamics concept has become the methodological basis of the research. The purpose of the study is to highlight the universal characteristics of clip culture co
Externí odkaz:
https://doaj.org/article/957555b289c740bd92b21516d29fbdb4
Autor:
A. P. Avdeeva, Yu. A. Safonova
Publikováno v:
Вестник университета, Vol 0, Iss 10, Pp 231-240 (2022)
The problem of interdisciplinary educational integration reflects the realities of the modern world. Rapidly changing technologies set new requirements for the training of specialists capable of innovation. The study of the vertical and horizontal in
Externí odkaz:
https://doaj.org/article/792b22b3f6734e17b30fc47704f02232
Autor:
A. P. Avdeeva, Yu. A. Safonova
Publikováno v:
Вестник университета, Vol 0, Iss 2, Pp 209-215 (2022)
The article presents the results of a study carried out at Bauman Moscow State Technical University (National Research University) in order to identify students’ expectations regarding the directions of professional education transformation. Based
Externí odkaz:
https://doaj.org/article/9ee384a2e28748ec96cf47e2a39e9bab
Autor:
A. P. Avdeeva, Yu. A. Safonova
Publikováno v:
Вестник университета, Vol 0, Iss 3, Pp 162-167 (2021)
The article considers the actual problem of organizing the communication space of distance learning for first-year students of the university. The development of information technologies, the need to introduce innovative approaches, the emergence of
Externí odkaz:
https://doaj.org/article/d809d4f607e846bb83416de8445fd7e8
Sixty years after the discovery of brown dwarfs, the search for these objects continues, particularly in the vicinity of the Sun. Objects near the Sun are characterized by large proper motions, making them seen as fast-moving objects. While the Gaia
Externí odkaz:
http://arxiv.org/abs/2408.15067
Autor:
Parisi, J. F., Guttenfelder, W., Nelson, A. O., Gaur, R., Kleiner, A., Lampert, M., Avdeeva, G., Berkery, J. W., Clauser, C., Curie, M., Diallo, A., Dorland, W., Kaye, S. M., McClenaghan, J., Parra, F. I.
A theoretical model is presented that for the first time matches experimental measurements of the pedestal width-height Diallo scaling in the low-aspect-ratio high-$\beta$ tokamak NSTX. Combining linear gyrokinetics with self-consistent pedestal equi
Externí odkaz:
http://arxiv.org/abs/2308.05238
Autor:
Curie, Max T., Larakers, Joel, Parisi, Jason, Staebler, Gary, Munaretto, Stefano, Guttenfelder, Walter, Belli, Emily, Hatch, David R., Lampert, Mate, Avdeeva, Galina, Neiser, Tom, Smith, Sterling, Diallo, Ahmed, Nelson, Oak, Kaye, Stanley, Fredrickson, Eric, Manela, Joshua M, Lei, Shelly, Halfmoon, Michael, Tennery, Matthew M, Hassan, Ehab
This article presents a survey of NSTX cases to study the microtearing mode (MTM) stabilities using the newly developed global reduced model for Slab-Like Microtearing modes (SLiM). A trained neutral network version of SLiM enables rapid assessment (
Externí odkaz:
http://arxiv.org/abs/2304.08982
Autor:
Novoselov, Sergey, Lavrentyeva, Galina, Avdeeva, Anastasia, Volokhov, Vladimir, Gusev, Aleksei
Recent advances in unsupervised speech representation learning discover new approaches and provide new state-of-the-art for diverse types of speech processing tasks. This paper presents an investigation of using wav2vec 2.0 deep speech representation
Externí odkaz:
http://arxiv.org/abs/2203.15095
Autor:
Gusev, Aleksei, Volokhov, Vladimir, Andzhukaev, Tseren, Novoselov, Sergey, Lavrentyeva, Galina, Volkova, Marina, Gazizullina, Alice, Shulipa, Andrey, Gorlanov, Artem, Avdeeva, Anastasia, Ivanov, Artem, Kozlov, Alexander, Pekhovsky, Timur, Matveev, Yuri
Speaker recognition systems based on deep speaker embeddings have achieved significant performance in controlled conditions according to the results obtained for early NIST SRE (Speaker Recognition Evaluation) datasets. From the practical point of vi
Externí odkaz:
http://arxiv.org/abs/2002.06033