Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Andrey V. Lyamin"'
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 21, Iss 2, Pp 172-178 (2021)
The paper presents an approach to the parametric convergence performance improvement applied to the direct adaptive multi-sinusoidal disturbance compensation problem. The proposed method improves the performance of the existing solutions and ensures
Externí odkaz:
https://doaj.org/article/e2746fc2c82c4a41b9ba3c79c63fc692
Publikováno v:
EAI Endorsed Transactions on e-Learning, Vol 3, Iss 10, Pp 1-7 (2016)
In the work a description of an automata model of standard algorithm for constructing a correct solution of algorithmic tests is given. The described model allows a formal determination of the variant complexity of algorithmic test and serves as a ba
Externí odkaz:
https://doaj.org/article/edae0124363448e888dc0a33e9dc936a
Publikováno v:
2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS).
Publikováno v:
Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference; Vol 2 (2019): Environment. Technology. Resources. Proceedings of the 12th International Scientific and Practical Conference. Volume 2; 233-237
ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference; Vol 2 (2019): Environment. Technology. Resources. Proceedings of the 12th International Scientific and Practical Conference. Volume 2; 233-237
ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference; Vol 2 (2019): Environment. Technology. Resources. Proceedings of the 12th International Scientific and Practical Conference. Volume 2; 233-237
The research is devoted to the study of data on learners’ interactions in massive open online courses. Based on the logs of online-learning platforms, the following research was made: a comparison of the behaviour of motivated and unmotivated learn
Publikováno v:
2017 Intelligent Systems Conference (IntelliSys).
The most efficient information systems are based on the relational data model. extensible Markup Language (XML) structures are machine- and human-readable. XML data can be easily analyzed and exchanged between different systems. Though, XML data is s
Publikováno v:
2017 Intelligent Systems Conference (IntelliSys).
During the last decade many intelligent systems that help us in everyday life have come into being. Artificial intelligence is a widespread sphere among lots of people and scientific laboratories, as it includes different fields that are instantly de
Publikováno v:
Smart Education and e-Learning 2017 ISBN: 9783319594507
e-Learning tools and environments, especially virtual laboratories, are becoming of great interest nowadays as the reason of fast improvement of learning management systems and education itself. Virtual laboratories are often used for developing and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db4a828a35cbd41a11b255ee55be56d4
https://doi.org/10.1007/978-3-319-59451-4_22
https://doi.org/10.1007/978-3-319-59451-4_22
Publikováno v:
Smart Education and e-Learning 2017 ISBN: 9783319594507
Adaptive course development is a complicated task. Application of the traditional approaches leads to the increase of laboriousness during the development and evaluation of the course. This paper presents an approach based on automata model that help
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::907ec0e1ce84e1d97091b98813f03710
https://doi.org/10.1007/978-3-319-59451-4_10
https://doi.org/10.1007/978-3-319-59451-4_10
Publikováno v:
Smart Education and e-Learning 2017 ISBN: 9783319594507
Many universities apply e-learning and learning management systems to control the learning process. Such systems require educational programs to be uploaded inside the system as specific structures. Nowadays almost all of the educational programs are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9193b228ce873ab59374a946dabc317
https://doi.org/10.1007/978-3-319-59451-4_14
https://doi.org/10.1007/978-3-319-59451-4_14
Publikováno v:
2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI).
During the last decade many information systems started applying various biometric identification modules. This type of identification is secure and provides a real possibility to protect a system from an unapproved access. The paper presents a newly