Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Viktor V. SEMENOV"'
Autor:
Viktor V. Semenov
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 3, Pp 424-430 (2024)
The effective functioning of modern production systems is impossible without using of methods for processing and analyzing data continuously generated during operation. Limitations imposed on the speed and precision of determining the required indi
Externí odkaz:
https://doaj.org/article/83f39c8a47914baf8471c245c8ac4eb4
Publikováno v:
Prague Medical Report, Vol 124, Iss 3, Pp 242-254 (2023)
Patients with chronic kidney disease (CKD) have high cardiovascular risk (CVR), which is often underestimated by conventional tools. The coronary artery calcium score (CACS) significantly improves CVR stratification by conventional tools, but it is o
Externí odkaz:
https://doaj.org/article/4944dce6a95441e5add2c1f7a108e7af
Autor:
Viktor V. Semenov
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 22, Iss 6, Pp 1150-1158 (2022)
The wide spread of cyber-physical systems, as well as the widespread integration of computing resources into physical entities, have led to an increase in the risks of deliberate and accidental security incidents. In this regard, the development of n
Externí odkaz:
https://doaj.org/article/8680db6fba234f198a042ae827aa6001
Autor:
Viktor V. Semenov
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 21, Iss 6, Pp 887-894 (2021)
The close integration of modern cyber-physical systems with production and technological ones as well as with critical information infrastructure requires improving the monitoring process. The monitoring process is necessary with a constant increase
Externí odkaz:
https://doaj.org/article/8bde1a9e14404e85bb730deae55d9379
Autor:
Viktor V. Semenov, Sergey A. Arustamov
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 20, Iss 5, Pp 770-772 (2020)
Subject of Research. The paper presents an approach to the analysis of digital signal sequences related to cyber-physical systems functioning. The proposed solution combines a set of machine learning methods for analyzing heterogeneous external data
Externí odkaz:
https://doaj.org/article/f883cbf092b74ac58659a67b1d5de45d
Massive polyuria associated with severe COVID-19-related pneumonia complicated by pulmonary embolism
Autor:
Tetiana O. PERTSEVA, Tetiana V. KIREYEVA, Volodymyr I. DUBYNA, Yuriy Y. KOBELATSKYY, Lubov A. BARDACHENKO, Olena A. GAVVA, Viktor V. SEMENOV, Olexandr V. KURYATA
Publikováno v:
Gazzetta Medica Italiana Archivio per le Scienze Mediche. 181
Publikováno v:
Journal of Automation and Information sciences. 1:30-40
The lexicographic approach for solving multicriteria problems consists in the strict ordering of criteria concerning relative importance and allows to obtain optimization of more important criterion due to any losses of all another, to the criteria o
Publikováno v:
Cognition and Experience. 2:127-130
Autor:
Olexandr Kuryata, Tetiana Lysunets, Hanna Vorotilishcheva, Vadym Pashkovskyi, Viktor V. Semenov
Publikováno v:
Revista Colombiana de Reumatología.
Publikováno v:
Automatic Control and Computer Sciences. 54:1001-1006
Telecommunication devices are becoming one of the critical elements of industrial systems. They are an attractive target for potential attackers. A method for identification of anomalies based on local signal spectra and using neural networks for eva