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Application of a mixture model of probability distributions when detecting radiophysical signals
Kolchev A., Egoshin I., Nedopekin A., Shumaev V.
© 2019 IEEE. The paper shows the effectiveness of using a mixture model of probability
Exponential stability of the flow for a generalized Burgers equation on a circle
Djurdjevac A., Shirikyan A.R.
The paper deals with the problem of stability for the flow of the 1D Burgers equation on a circle
Access success probability analysis for MTC communication over 3GPP RACHм
Gudkova I., Zaripova E., Medvedeva E., Semenova O., Vlaskina A.
Access success probability analysis for MTC communication over 3GPP RACHм
Eventological modeling of housing and communal services system
Амельчугов, Сергей Петрович, Климов, Алексей Сергеевич, Мицкевич, Оксана Сергеевна, Никитина, Олеся Сергеевна
Matrix-geometric queue distribution under LCFS discipline with interruption and phase-type distributions
Bocharov P.P.
. The numerical analysis are given. Particularly, these results enable to calculate the dependencies
Determination of the Probability of Collision of Near-Earth Space Objects Taking into Account Form and Orientation
Karatunov M.O., Baranov A.A., Golikov A.R.
. An analysis of existing approaches to assessing the probability of collision is given. A calculation was made
Analysis of the queue with phase type distributions and inverse service discipline with interruptions
Bocharov P.P., Pavlova O.I.
distribution function the probability of losses is less for the discipline LCFSPR. Repetition (LCFSPRR
Analysis of an admission model in a fourth generation mobile network with triple play traffic
Samouylov K.E., Gudkova I.A.
the stationary probability distribution of the states of the models with unicast and elastic traffics
On the analysis of a resource loss system with the waiting buffer
Daraseliya A.V., Sopin E.S.
the stationary probabilities, loss probability, the average waiting time and the average number of customers.
APPROXIMATE ANALYSIS OF A NETWORK OF RESOURCE LOSS SYSTEMS
Sopin E., Begishev V., Samuylov A., Moltchanov D.
probability and the accepted customer loss probability.

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