Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Andrey Gorshenin"'
Publikováno v:
Mathematics, Vol 12, Iss 3, p 468 (2024)
The advancement of cloud computing technologies has positioned virtual machine (VM) migration as a critical area of research, essential for optimizing resource management, bolstering fault tolerance, and ensuring uninterrupted service delivery. This
Externí odkaz:
https://doaj.org/article/77f999ebd8504fdca1aac0492119720c
Publikováno v:
Future Internet, Vol 15, Iss 9, p 290 (2023)
Fifth-generation (5G) networks require efficient radio resource management (RRM) which should dynamically adapt to the current network load and user needs. Monitoring and forecasting network performance requirements and metrics helps with this task.
Externí odkaz:
https://doaj.org/article/4f2b47bc4dce4537ba20bd9110a8e4eb
Autor:
Andrey Borisov, Andrey Gorshenin
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3062 (2022)
The paper aims to identify hidden Markov model parameters. The unobservable state represents a finite-state Markov jump process. The observations contain Wiener noise with state-dependent intensity. The identified parameters include the transition in
Externí odkaz:
https://doaj.org/article/4d7c525043ac4c0697ab2319e456f326
Publikováno v:
Mathematics, Vol 10, Iss 13, p 2182 (2022)
Complex systems have long been an integral part of modern life and can be encountered everywhere [...]
Externí odkaz:
https://doaj.org/article/ef83e7e48edf467cbccebd0c323866d2
Autor:
Andrey Gorshenin, Victor Kuzmin
Publikováno v:
Mathematics, Vol 10, Iss 4, p 589 (2022)
This paper presents a feature construction approach called Statistical Feature Construction (SFC) for time series prediction. Creation of new features is based on statistical characteristics of analyzed data series. First, the initial data are transf
Externí odkaz:
https://doaj.org/article/c7b83534aa5c41a09f17c1ce0592456f
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1409 (2020)
A version of the central limit theorem is proved for sums with a random number of independent and not necessarily identically distributed random variables in the double array limit scheme. It is demonstrated that arbitrary normal mixtures appear as t
Externí odkaz:
https://doaj.org/article/e9c9daae792e42ce85aad2d787548197
Autor:
Victor Korolev, Andrey Gorshenin
Publikováno v:
Mathematics, Vol 8, Iss 4, p 604 (2020)
Mathematical models are proposed for statistical regularities of maximum daily precipitation within a wet period and total precipitation volume per wet period. The proposed models are based on the generalized negative binomial (GNB) distribution of t
Externí odkaz:
https://doaj.org/article/816eaddde0774b12842b999b92604812
Publikováno v:
Mathematics, Vol 7, Iss 7, p 648 (2019)
The analysis of the real observations of precipitation based on the novel statistical approach using the negative binomial distribution as a model for describing the random duration of a wet period is considered and discussed. The study shows that th
Externí odkaz:
https://doaj.org/article/1697057711c14fd6bc7bc33daea43dcd
Autor:
Andrey Gorshenin, A. A. Shcherbinina
Publikováno v:
Pattern Recognition and Image Analysis. 30:470-479
The paper discusses the effectiveness of the method for determining the parameters of the useful signal in the sliding window mode, provided that it is possible to obtain preliminary estimates for the noise distribution. For the statistical experimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c55bdbf072fb44bf45b316228bb2c99
https://doi.org/10.1134/s1054661820030074
https://doi.org/10.1134/s1054661820030074
Publikováno v:
Journal of Mathematical Sciences. 246:503-518
We present new mixture representations for the generalized Linnik distribution in terms of normal, Laplace, and generalized Mittag–Leffler laws. In particular, we prove that the generalized Linnik distribution is a normal scale mixture with the gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5b30aae00ccc5c3379c176db6465ab9
https://doi.org/10.1007/s10958-020-04755-8
https://doi.org/10.1007/s10958-020-04755-8