KFU. Card publication. Deep learning techniques for the study of student's academic performance during distance education caused by COVID-19

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

DEEP LEARNING TECHNIQUES FOR THE STUDY OF STUDENT'S ACADEMIC PERFORMANCE DURING DISTANCE EDUCATION CAUSED BY COVID-19

Form of presentation

Articles in international journals and collections

Year of publication

2023

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Authors, employees of KFU

Gafarov Fail Mubarakovich, author

Ustin Pavel Nikolaevich, author

Bibliographic description in the original language

Yunusov V, Gafarov F, Ustin P., Deep learning techniques for the study of student's academic performance during distance education caused by COVID-19//Proceedings - 2023 17th International Conference on Electronics Computer and Computation, ICECCO 2023. - 2023. - Vol., Is.. - .

Keywords

data science, Python, deep learning, academic performance, feature performance

The name of the journal

Proceedings - 2023 17th International Conference on Electronics Computer and Computation, ICECCO 2023

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163741382&doi=10.1109%2fICECCO58239.2023.10147143&partnerID=40&md5=0e5dd2139814208ad36bcad0c97f2ec1

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=286424&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gafarov Fail Mubarakovich	ru_RU
dc.contributor.author	Ustin Pavel Nikolaevich	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Yunusov V, Gafarov F, Ustin P., Deep learning techniques for the study of student's academic performance during distance education caused by COVID-19//Proceedings - 2023 17th International Conference on Electronics Computer and Computation, ICECCO 2023. - 2023. - Vol., Is.. - .	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=286424&p_lang=2	ru_RU
dc.description.abstract	Proceedings - 2023 17th International Conference on Electronics Computer and Computation, ICECCO 2023	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	data science	ru_RU
dc.subject	Python	ru_RU
dc.subject	deep learning	ru_RU
dc.subject	academic performance	ru_RU
dc.subject	feature performance	ru_RU
dc.title	Deep learning techniques for the study of student's academic performance during distance education caused by COVID-19	ru_RU
dc.type	Articles in international journals and collections	ru_RU