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Shorgin Sergei Yakovlevich

Publications in Math-Net.Ru

  1. Model development for performance of transmission scheduling in 5G New Radio networks under signaling and user traffic constraints

    Inform. Primen., 19:3 (2025),  46–54
  2. Analysis of failures by indirect features

    Sistemy i Sredstva Inform., 35:1 (2025),  59–70
  3. Stochastic path loss model in 5П network deployment scenarios: a study based on 3GPP TR 38.901

    Inform. Primen., 18:2 (2024),  25–31
  4. Logic of deception in machine learning

    Inform. Primen., 18:1 (2024),  78–83
  5. Development of a convolutional algorithm for calculating the stationary characteristics of resource loss systems with requirements-depending serving time

    Sistemy i Sredstva Inform., 34:4 (2024),  48–58
  6. On modeling shared service of unicast and multicast traffic with prioritization

    Sistemy i Sredstva Inform., 34:2 (2024),  40–54
  7. Priority-based eMBB and URLLC traffic coexistence models in 5G NR industrial deployments

    Inform. Primen., 17:4 (2023),  64–70
  8. Complex cause-and-effect relationships

    Inform. Primen., 17:2 (2023),  84–89
  9. Preemption-based prioritization scheme for network resources slicing in 5G systems

    Inform. Primen., 17:1 (2023),  96–106
  10. Causal relationships in classification problems

    Inform. Primen., 17:1 (2023),  43–49
  11. Cause-and-effect relationships in analysis of unobservable process properties

    Sistemy i Sredstva Inform., 33:2 (2023),  71–78
  12. Classification problem in conditions of distorted cause-and-effect relationships

    Sistemy i Sredstva Inform., 33:1 (2023),  59–67
  13. About the secure architecture of a microservice-based computing system

    Inform. Primen., 16:4 (2022),  87–92
  14. On the optimal antenna deployment for subterahertz V2X communications

    Inform. Primen., 16:4 (2022),  42–50
  15. Controllable queuing system with elastic traffic and signals for analyzing network slicing

    Inform. Primen., 16:3 (2022),  90–96
  16. Density analysis of mmWave NR deployments for delivering scalable AR/VR video services

    Inform. Primen., 16:2 (2022),  102–108
  17. Cause-and-effect chain analysis

    Inform. Primen., 16:2 (2022),  68–74
  18. Detection of distribution drift

    Sistemy i Sredstva Inform., 32:4 (2022),  14–20
  19. Some approaches to network DLP analysis

    Sistemy i Sredstva Inform., 32:2 (2022),  72–80
  20. Search of anomalies in big data

    Sistemy i Sredstva Inform., 32:1 (2022),  160–167
  21. Model for analyzing priority admission control of URLLC and eMBB communications in 5G networks as a resource queuing system

    Inform. Primen., 15:4 (2021),  87–92
  22. Statistics and clusters for detection of anomalous insertions in Big Data environment

    Inform. Primen., 15:4 (2021),  79–86
  23. A method for estimating bent, shape and scale parameters of the gamma-exponential distribution

    Inform. Primen., 15:3 (2021),  57–62
  24. Enhanced tokenization algorithm for personal data protection

    Sistemy i Sredstva Inform., 31:4 (2021),  135–143
  25. An example of neural network usage for assigning a modulation-code scheme to a 5G base station scheduler

    Sistemy i Sredstva Inform., 31:3 (2021),  135–143
  26. Model for analyzing priority URLLC transmission with eMBB bit rate degradation and interruptions in 5G networks

    Sistemy i Sredstva Inform., 31:3 (2021),  123–134
  27. Analytical properties and aspects of computation of the gamma-exponential function

    Sistemy i Sredstva Inform., 31:2 (2021),  108–118
  28. Analytical model of carrier sense multiple access protocol for Industrial Internet of Things applications

    Sistemy i Sredstva Inform., 31:2 (2021),  16–25
  29. Retrial queuing model for analyzing joint URLLC and eMBB transmission in 5G networks

    Inform. Primen., 14:4 (2020),  17–24
  30. Analysis of the network slicing mechanisms with guaranteed allocated resources for various traffic types

    Inform. Primen., 14:3 (2020),  94–100
  31. Mathematical statistics in the task of identifying hostile insiders

    Inform. Primen., 14:3 (2020),  71–75
  32. Constructing process models represented by simple Petri nets

    Sistemy i Sredstva Inform., 30:4 (2020),  61–75
  33. Formalization of the alternatives ranking method for group decision making in social networks

    Inform. Primen., 13:3 (2019),  63–71
  34. Comparative analysis of performance measures for a wireless machine-to-machine network model

    Inform. Primen., 13:1 (2019),  108–116
  35. Approximation of antenna directivity gain for directional deafness analysis in three-dimensional space

    Sistemy i Sredstva Inform., 29:3 (2019),  39–51
  36. Modeling the movement of devices in a wireless network by random walk models

    Inform. Primen., 12:4 (2018),  2–8
  37. Hierarchical method of meta data generation for control of network connections

    Inform. Primen., 12:2 (2018),  44–49
  38. Overcoming of protection of a network where connections are controlled by meta data

    Sistemy i Sredstva Inform., 28:4 (2018),  22–30
  39. Beta-polynomial a priori densities in bayesian reliability models

    Sistemy i Sredstva Inform., 28:3 (2018),  54–61
  40. Method of modeling interference characteristics in heterogeneous fifth generation wireless networks with device-to-device communications

    Inform. Primen., 11:4 (2017),  2–9
  41. Queuing systems with resources and signals and their application for performance evaluation of wireless networks

    Inform. Primen., 11:3 (2017),  99–105
  42. Probability model for analyzing licensed shared access with adaptive power control in a wireless network

    Inform. Primen., 11:3 (2017),  90–98
  43. Truncation bounds for a class of inhomogeneous birth and death queueing models with additional transitions

    Sistemy i Sredstva Inform., 27:3 (2017),  37–51
  44. Interference analysis of the device-to-device communications model with regard to a signal propagation environment

    Inform. Primen., 10:4 (2016),  2–10
  45. Architectural vulnerabilities of distributed information systems

    Sistemy i Sredstva Inform., 26:3 (2016),  74–82
  46. On performance analysis of modern wireless networks

    Inform. Primen., 9:4 (2015),  48–55
  47. The approximation of response time of a cloud computing system

    Inform. Primen., 9:3 (2015),  32–38
  48. Bayesian recurrent model of reliability growth: beta-uniform distribution of parameters

    Inform. Primen., 9:1 (2015),  98–105
  49. Possibilities of secure architecture creation for dynamically changing information systems

    Sistemy i Sredstva Inform., 25:3 (2015),  78–93
  50. On the bounds of the rate of convergence and stability for some queueing models

    Inform. Primen., 8:3 (2014),  19–27
  51. Bayesian recurrent model of reliability growth: beta-distribution of parameters

    Inform. Primen., 8:2 (2014),  48–54
  52. General bounds for nonstationary continuous-time Markov chains

    Inform. Primen., 8:1 (2014),  106–117
  53. Secure architecture of distributed systems

    Sistemy i Sredstva Inform., 24:3 (2014),  18–31
  54. The distribution of the return time from the set of overload states to the set of normal load states in a system $M|M|1|\langle L,H \rangle |\langle H,R \rangle$ with hysteretic load control

    Inform. Primen., 7:4 (2013),  20–33
  55. Bayesian recurrent model of reliability growth: uniform distribution of parameters

    Inform. Primen., 7:2 (2013),  55–59
  56. Bounds in null ergodic case for some queueing systems

    Inform. Primen., 6:4 (2012),  27–33
  57. A restriction on the total volume of demands in the discrete-time system Geo$/G/1/\infty$

    Inform. Primen., 6:3 (2012),  107–113
  58. $Geo_m/G/1/n$ system with $LIFO$ discipline without interrupts and constrained total amount of customers

    Avtomat. i Telemekh., 2011, no. 1,  107–120
  59. On a class of Markovian queues

    Inform. Primen., 5:4 (2011),  18–24
  60. On the Berry–Esseen type inequalities for poisson random sums

    Inform. Primen., 5:3 (2011),  64–66
  61. Stability bounds for some queueing systems with catastrophes

    Inform. Primen., 5:3 (2011),  27–33
  62. On a refinement of certain results for a Bayesian queuing model

    Inform. Primen., 5:1 (2011),  78–79
  63. Bayesian queueing and reliabilitymodels: characteristics of mean number of claims in the system $M|M|1|\infty$

    Inform. Primen., 4:3 (2010),  16–21
  64. On stability for nonstationary queueing systemswith catastrophes

    Inform. Primen., 4:3 (2010),  9–15
  65. Bayesian queueing and reliability models: general Erlang case

    Inform. Primen., 3:4 (2009),  30–34
  66. Bayesian queuing and reliability models: an exponential-erlang case

    Inform. Primen., 3:1 (2009),  55–59
  67. The model of interaction among consumers and remote computational resources by means of brokers

    Sistemy i Sredstva Inform., 2009, no. 19,  5–33
  68. $Geo/G/1/\infty$-queue with one “nonstandard” discipline of service

    Inform. Primen., 2:1 (2008),  55–62
  69. Bayesian queueing and reliability models

    Sistemy i Sredstva Inform., 2008, no. special issue,  40–53
  70. Bayesian approach to queuing systems and reliability characteristics

    Inform. Primen., 1:2 (2007),  76–82
  71. A new method for the probabilistic and statistical analysis of information flows in telecommunication networks

    Inform. Primen., 1:1 (2007),  40–53
  72. Development of mathematical models and methods of task distribution in distributed computational system

    Sistemy i Sredstva Inform., 2006, no. 16,  32–45
  73. Complex of mathematical and program tools for information and telecommunication systems modelling

    Sistemy i Sredstva Inform., 2006, no. 16,  4–31
  74. On the accuracy of the normal approximation of distributions of random sums with infinitely divisible indices

    Teor. Veroyatnost. i Primenen., 41:4 (1996),  920–926
  75. Non-classical estimates of the rate of convergence in the central limit theorem which take into account large deviations

    Teor. Veroyatnost. i Primenen., 27:2 (1982),  308–318
  76. A non-classical estimate of the rate of convergence in the multidimensional central limit theorem which takes into account large deviations

    Teor. Veroyatnost. i Primenen., 23:3 (1978),  692–697
  77. Approximation of a generalized binomial distribution

    Teor. Veroyatnost. i Primenen., 22:4 (1977),  867–871

  78. К 85-летию заслуженного деятеля науки Российской Федерации И. Н. Синицына

    Sistemy i Sredstva Inform., 35:3 (2025),  145–159
  79. Стохастические системы и развитие организационно-технико-экономических систем (к восьмидесятилетию заслуженного деятеля науки Российской Федерации И. Н. Синицына)

    Sistemy i Sredstva Inform., 30:3 (2020),  172–195
  80. Book review

    Inform. Primen., 6:2 (2012),  129
  81. On the 60th anniversary of A. A. Zatsarinnyi

    Inform. Primen., 5:3 (2011),  86
  82. To the 70th jubilee of I. N. Sinitsyn, the Honored Scientist of the Russian Federation

    Sistemy i Sredstva Inform., 20:1 (2010),  165–169
  83. Монография И. Н. Синицына «Канонические представления случайных функций и их применение в задачах компьютерной поддержки научных исследований» (М.: Торус Пресс, 2009. 840 с.)

    Inform. Primen., 3:4 (2009),  102–103

© Steklov Math. Inst. of RAS, 2026