Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Oydinoy Zufarova"'
Publikováno v:
2021 World Engineering Education Forum/Global Engineering Deans Council (WEEF/GEDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dec6ee0098b79cc5607c33c609f13d62
https://doi.org/10.1109/weef/gedc53299.2021.9657397
https://doi.org/10.1109/weef/gedc53299.2021.9657397
Autor:
Herman Tarasau, Sergey Masyagin, Ruslan Shakirov, Giancarlo Succi, Oydinoy Zufarova, Alexander G. Tormasov, Ananga Thapaliya, Vladimir Ivanov, Sara Busechian, Rozaliya Amirova
Publikováno v:
ICCAI
In recent years, the use of biological signals to understand the operations of software engineers has emerged, although with a limited understanding of its successful application. This paper provides primary evidence that biological signals obtained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8168da7980855cc5ca260470353041d9
https://doi.org/10.1145/3467707.3467742
https://doi.org/10.1145/3467707.3467742
Autor:
Rozaliya Amirova, Sergey Masyagin, Oydinoy Zufarova, Vladimir Ivanov, Ananga Thapaliya, Giancarlo Succi, Aldo Spallone
Publikováno v:
Frontiers in Software Engineering Education ISBN: 9783030576622
FISEE
FISEE
Given the emerging importance of individual biophysical data for understanding software development activities, an internship was organized to provide the students with first hand experience on the collection of such data. The specific goal of the in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9345635e2e63f0d69c385ba1e19513b7
https://doi.org/10.1007/978-3-030-57663-9_17
https://doi.org/10.1007/978-3-030-57663-9_17
Autor:
Oydinoy Zufarova, Sergey Masyagin, Ruslan Shakirov, Ilyas Sirazidtinov, Ananga Thapaliya, Rustam Ikramov, Giancarlo Succi, Alexander G. Tormasov, Vladimir Ivanov
Publikováno v:
SEKE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b3f41f6dae3a7a3937c3bb3089b5dd3
https://doi.org/10.18293/seke2019-215
https://doi.org/10.18293/seke2019-215
Publikováno v:
Software Technology: Methods and Tools ISBN: 9783030298517
TOOLS
TOOLS
The electroencephalograph (EEG) signal is one of the most widely used signal in the field of computer science to analyze the electrical brain waves from software developers and students. In this paper we present initial research results of an empiric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4903bbf44417788b7b0b4330ec11e57
https://doi.org/10.1007/978-3-030-29852-4_6
https://doi.org/10.1007/978-3-030-29852-4_6