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Type: магистерская диссертация
Date: 2022
Source: Information Technologies and Mathematical Modelling. Queueing Theory and Applications : 20th International Conference, ITMM 2021, named after A. F. Terpugov, Tomsk, Russia, December 1–5, 2021 : revised selected papers. Cham, 2022. P. 356-370
Type: статьи в сборниках
Date: 2022
Description:
In this paper, we study a single-server retrial queueing system with arrival Markov Modulated Poisson Process and an exponential law of the service time on an unreliable server. If the server is idle,
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Source: Automation and remote control. 2022. Vol. 83, № 8. P. 1213-1227
Type: статьи в журналах
Date: 2022
Description:
We consider a resource heterogeneous queuing system with a flexible two-node request-response facility. Each node has a certain resource capacity for service (buffer space) and hence a potential to re
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Source: Information Technologies and Mathematical Modelling. Queueing Theory and Applications : 20th International Conference, ITMM 2021, named after A. F. Terpugov, Tomsk, Russia, December 1–5, 2021 : revised selected papers. Cham, 2022. P. 343-355
Type: статьи в сборниках
Date: 2022
Description:
A queuing system with repeated calls, one server, collisions (conflicts) of calls, H-persistence and rejections is considered. A call that found the device free occupies it, and service begins, which
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Source: Axioms. 2022. Vol. 11, № 12. P. 699 (1-12)
Type: статьи в журналах
Date: 2022
Description:
In this paper, a retrial queueing system of the M/M/1 type with Poisson flows of arrivals, impatient customers, collisions, and an unreliable service device is considered. To make the problem more rea
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Source: Вестник Томского государственного университета. Управление, вычислительная техника и информатика. 2022. № 61. С. 26-36
Type: статьи в журналах
Date: 2022
Description:
In this paper, we consider a general random censorship model and prove asymptotic properties of modified empirical Kac processes. This model includes such important special cases as random censorship
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Source: Publicationes mathematicae Debrecen. 2022. Vol. 101, № 3/4. P. 397-419
Type: статьи в журналах
Date: 2022
Description:
The goal of the present paper is to analyze the steady-state distribution of the waiting time in a finite source M/G/1 retrial queueing system where conflicts may happen and the server is unreliable.
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Source: Sequential Analysis. 2022. Vol. 41, № 1. P. 119-141
Type: статьи в журналах
Date: 2022
Description:
By making use of Kullback-Leibler information, we develop a new approach for the quickest detection problem for general statistical models with dependent observations and unknown postchange distributi
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Source: Combustion and flame. 2022. Vol. 236. P. 111800
Type: статьи в журналах
Date: 2022
Source: Computing and software for big science. 2022. Vol. 6. P. 7 (1-54)
Type: статьи в журналах
Date: 2022
Source: Atmosphere. 2022. Vol. 13, № 9. P. 1402 (1-21)
Type: статьи в журналах
Date: 2022
Description:
Observations of the atmospheric sources and sinks of carbon dioxide (CO2) and methane (CH4) in the pan-Arctic domain are extremely scarce, limiting our knowledge of carbon turnover in this climaticall
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Source: Atmospheric and oceanic optics. 2022. Vol. 35, № 3. P. 288-302
Type: статьи в журналах
Date: 2022
Description:
Adaptive optics (AO) systems are an essential part of large astronomical telescopes and laser complexes operating through the atmosphere. Each AO system is individually designed; the requirements for
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Source: Proceedings of SPIE. 2022. Vol. 12341 : 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia. P. 123410W-1-123410W-5
Type: статьи в журналах
Date: 2022
Description:
The high-altitude distributions of the Richardson number above the 6-meters Big Telescope Alt-Azimuthal of SAO RAS for astronomical site characterization are study. The 1/Ri used as parameter for rank
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Type: магистерская диссертация
Date: 2022
Source: Вестник Томского государственного университета. Управление, вычислительная техника и информатика. 2022. № 58. С. 97-105
Type: статьи в журналах
Date: 2022
Description:
Early detection of COVID-19 infected patients is essential to ensure adequate treatment and reduce the load on the healthcare systems. One of effective methods for detecting COVID-19 is deep learning
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