Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Dmitrii Malov"'
Autor:
Dmitrii Malov
Publikováno v:
IEEE Conf. on Intelligent Systems
Quantum information processing is a rapidly growing industry with promising results in the near future. Its implementtation has serious impact on almost any areas of our lives: cyber-security, communication, AI, etc. Any computations can be considere
Autor:
Olga Shumskaya, Dmitrii Malov
Publikováno v:
2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA).
We analyzed modern approaches to fatigue recognition. Most of the methods are based on classical statistical analysis. Some of the methods are based on machine learning models, in particular artificial neural networks. We have tested independent mode
Publikováno v:
DeSE
With active growth of digital economics, an increasingly important role is played by the design and management of the corporate information system architecture to meet the actual needs of both research fellows and management. To modernize the corpora
Autor:
Maksim Letenkov, Dmitrii Malov
Publikováno v:
Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin's Readings” ISBN: 9789811392665
User identification within smart environments (SE) is intended to organize functioning of all services efficiently. One of the most popular ways to recognize a user is by his or her face. It is necessary to have a large dataset as it is possible to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068a4e8d0f863344fc545a463da26878
https://doi.org/10.1007/978-981-13-9267-2_41
https://doi.org/10.1007/978-981-13-9267-2_41
Publikováno v:
Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin's Readings” ISBN: 9789811392665
Smart Environments (SE)’ implementation provides great possibilities and services for users. But also such systems can be potentially harmful in terms of destructive behavior that can be met in this kind of informational space. In this case, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ff937e3db7283c18d313713bb12cc2e
https://doi.org/10.1007/978-981-13-9267-2_42
https://doi.org/10.1007/978-981-13-9267-2_42
Publikováno v:
2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).
Cyber-Physical System (CPS) is an important part of the Internet of Things concept. CPS is based on seamless integration of computational algorithms into the physical environment. Users can interact with CPS by means of various interfaces to get some
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030261177
ICR
ICR
In this article, a microservice architecture of cyber-physical space was considered and in particular localization service was implemented. We propose an architecture of proactive localization service, which allows predicting the activity of the trac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d235aaa39db94f1151d9c050086dfb5
https://doi.org/10.1007/978-3-030-26118-4_2
https://doi.org/10.1007/978-3-030-26118-4_2
Publikováno v:
Speech and Computer ISBN: 9783030260606
SPECOM
SPECOM
This paper considers emotional assessment of texts in Russian using machine learning on the example of aggression detection. It summarizes the related work, methods, models and datasets, describes actual problems, proposes a text processing pipeline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ae188a1dcb5450872770d62ecbb44aa
https://doi.org/10.1007/978-3-030-26061-3_28
https://doi.org/10.1007/978-3-030-26061-3_28
Publikováno v:
2018 International Russian Automation Conference (RusAutoCon).
One of the urgent problems of modular robotics is the lack of universal algorithms that ensure the recalculation of joint kinematics when changing the configuration of the entire system. This problem has a number of peculiarities: for each new config
Publikováno v:
MATEC Web of Conferences, Vol 161, p 01004 (2018)
In this paper we present a statistical approach to the likelihood computation and adaptive resampling algorithm for particle filters using low cost ultrasonic sensors in the context of service robotics. This increases the efficiency of the particle f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9774813289e70009a57056a708aa74f
https://publikationen.bibliothek.kit.edu/1000082750/15098558
https://publikationen.bibliothek.kit.edu/1000082750/15098558