Scientific papers

  1. Prokopchina, S. V. Choosing the quantization step according to the level of a uniformly distributed signal / S. V. Prokopchina // St. Petersburg "Izvestia LETI". – issue 189. – pp. 75-79.
  2. Prokopchina, S. V. Issues of building a hybrid computing complex for determining distribution laws. Hybrid computing machines and complexes. / S. V. Prokopchina // Kiev: Naukova dumka. - 1976. – pp. 179-183.
  3. Prokopchina, S. V. On one approach to choosing the type of probability distribution for large-volume samples / S. V. Prokopchina // Devices and systems of automated information processing. – 1976. – issue 2. – pp. 392-395.
  4. Prokopchina, S. V. Multifunctional combined computing device for determining the laws of distribution of random processes "Problems of creating information form converters" / S. V. Prokopchina // Kiev: Naukova dumka. – 1976. – no. part 2. – pp. 178-183.
  5. Prokopchina, S. V. Hybrid computing complex / S. V. Prokopchina // Information leaflet No. 1366-76, Leningrad Interdisciplinary Territorial Center for Scientific and Technical Information and Propaganda. - 1976. – pp. 45-49.
  6. Prokopchina, S. V. On a possible method for automating the choice of a model of the law of distribution of a random process / S. V. Prokopchina // Scientific research automation systems and tools. - 1976. – no. – pp. 75-85.
  7. Prokopchina, S. V. On the Computation of the approximation error of complex distributions with normal shape parameters / S. V. Prokopchina // St. Petersburg: Izvestiya LETI. – 1977. – issue 209. – pp. 95-100.
  8. Prokopchina S. V. Algorithm for determining the optimal implementation length for approximating the probability density of a random process / Prokopchina S. V. // Automation and mechanization of labor-intensive processes. – Ustinov: UMI Publishing House, 1984. – pp. 77-79.
  9. Prokopchina S. V. Building models and calculating the main characteristics of computing systems processes / Prokopchina S. V. // Automation and mechanization of labor-intensive processes. – Ustinov: UMI Publishing House, 1985. – p. 31.
  10. Prokopchina S. V. Special topic / Prokopchina S. V. // Compendium of theses reports. - Penza: Vayu, 1985. - P. 99.
  11. Prokopchina S. V. Identification of feature distributions of texture images with specified accuracy and reliability / Prokopchina S. V. // Collection of abstracts of the All-Union Conference "Automated image processing systems". – Moscow: Nauka, 1986. – pp. 24-25.
  12. Prokopchina S. V. A package of applied PV identification programs for the tasks of statistical description of textural images / Prokopchina S. V. // Abstracts of the report of the Republican Scientific and Technical Conference. Izhevsk: 1987. pp. 45-46.
  13. Prokopchina S. V. Identification of processes and systems based on the regularizing Bayesian approach / Prokopchina S. V. // Proceedings of the USSR Academy of Sciences "Automation of processor processes and scientific research". – Apatity: 1990. – pp. 35-36.
  14. Prokopchina S. V. Metrological certification of models and algorithms for Bayesian identification of probabilistic characteristics / Prokopchina S. V. // Collection of abstracts of the All-Union conference "Metrological support of IIS and ASUP". – Lviv: 1990. – pp. 26-27.
  15. Prokopchina S. V. Metrological certification of the Bayesian identification algorithm of distribution laws / Prokopchina S. V. // Collection of scientific papers of VNIIMIUS NPO Sistema. — Lviv: 1990. — pp. 75-86.
  16. Prokopchina S. V. Bayesian intelligent measurements of parameters of random processes / Prokopchina S. V. // Collection of scientific papers of VNIIMIUS NPO Sistema. – Lviv: 1990. – pp. 75-86.
  17. Prokopchina, S. V. Bayesian intelligent measurements of parameters of random processes / S. V. Prokopchina, O. A. Nugunov // Izvestiya SPbGETU LETI. – 1991. – No. 442. – pp. 73-76. – EDN VAVHQT. 
  18. Prokopchina S. V. Parallel Prokopchina S. V. Parallel Computing in algorithms of Bayesian identification of probabilistic characteristics / Prokopchina S. V. // All–Union seminar "Distributed information processing - IV". – Novosibirsk: 1991. – p. 135.
  19. Prokopchina S. V. Ensuring the required quality of solutions in Bayesian algorithms for classifying objects by images / Prokopchina S. V. // Collection of abstracts of the conference "Problems of creating systems for processing and understanding transformation analysis". Tashkent: 1991. pp. 88-97.
  20. Prokopchina S. V., Koinash B. V. Regularizing Bayesian approach in problems of object classification by images / Prokopchina S. V., Koinash B. V. // Preprint. – 1991. – No. 33 MPA OF THE USSR Academy of Sciences. – p. 61.
  21. Prokopchina S. V. Parametric identification of processes and systems based on the regularizing Bayesian approach / Prokopchina S. V. // Collection of abstracts of the All-Union conference "Identification, measurement of characteristics and simulation of random signals". – Novosibirsk: 1991. – p. 89.
  22. Prokopchina S. V. Metrological substantiation of models and algorithms for Bayesian identification of probabilistic characteristics / Prokopchina S. V. // DR 5014-pr91.-Dep. in the VINITI "Deposited scientific papers". – 1991. – No. 11. – p. 49.
  23. Prokopchina S. V. Improving the efficiency of metrological certification of measuring instruments based on Bayesian identification algorithms / Prokopchina S. V. // Collection of reports of the scientific and technical seminar. – Penza: 1991. – pp. 132-133.
  24. Prokopchina S. V. Computations of the reliability of simulation modeling / Prokopchina S. V. // Abstracts of scientific and technical conference reports. – Alma-Ata: 1991. – pp. 35-36.
  25. Prokopchina S. V. Identification of laws. Expert distribution system of the means of the miexpert ASSISTANT-STAT system / Prokopchina S. V. // Collection of abstracts of the All-Union seminar "Statistical identification, forecasting and control". – Sevastopol: 1991. – pp. 76-77.
  26. Prokopchina S. V., Chernyavsky E. A. Methodological guidelines for career guidance / Prokopchina S. V., Chernyavsky E. A. // LETI. – St. Petersburg: 1991. – p. 35.
  27. Prokopchina S. V. Algorithm of Bayesian identification of the distribution law in the tasks of automation of industrial production and scientific research / Prokopchina S. V. // Abstracts of the conference of the KoAN of the USSR, 1991. – pp. 111-112.
  28. Nagunov, O. A. Bayesian identification, distribution parameters / O. A. Nagunov, S. V. Prokopchina // Izvestiya SPbGETU LETI. – 1992. – No. 446. – pp. 57-61. – EDN VAVHRD.
  29. Prokopchina S. V. Expert Assistant system for intelligent Bayesian measurements of probabilistic characteristics / Prokopchina S. V. // Measuring technique. - 1992. – No. 8. – p. 11.
  30. Prokopchina, S. V. (1992). Expert system ”assistant” for bayes’ intellectual measurements of probability characteristics. Measurement Techniques, 35(8), 886–892. https://doi.org/10.1007/bf00977425
  31. Prokopchina S. V. Estimation of the quantization error by the level of the higher moments of distributions / Prokopchina S. V. // Collection of scientific papers "Methods of computational experiment in engineering practice". Izhevsk: IMI, 1992. pp. 85-95.
  32. Prokopchina S. V. Selection of histogram parameters for estimating the probability density of unimodal distributions with a given accuracy / Prokopchina S. V. // Collection of scientific papers "Methods of computational experiment in engineering practice" Issue 1. – Izhevsk: IM, 1992. – p. 45.
  33. Prokopchina S. V. Determination of the variance of sample coefficients of asymmetry and kurtosis / Prokopchina S. V. // Collection of scientific papers "Methods of computational experiment in engineering practice" Issue 2. – Izhevsk: IM, 1992. – pp. 88-93.
  34. Prokopchina S. V. Application of the regularizing Bayesian approach to the calculation of the number of biological resources / Prokopchina S. V. // Dept. in VINITI, "Deposited manuscripts" IU, 172. – 1992. – No. 2032-92 of 06/23/92. – pp. 88-89.
  35. Prokopchina S. V. Metrological aspects of intelligent measurements / Prokopchina S. V. // Dept. in VINITI, "Deposited manuscripts" IU, 172. – 1992. – No. 2032-92 of 06/23/92. – pp. 90-101.
  36. Prokopchina S. V. Expert systems of intelligent measurements in environmental monitoring tasks / Prokopchina S. V. // Collection of works. – St. Petersburg: SPbSETU "LETI", 1993. – pp. 76-78.
  37. Prokopchina S. V. Metrological substantiation of algorithms for Bayesian intelligent measurements of indicators of the state of biological resources / Prokopchina S. V. // Collection of works. – St. Petersburg: SPbSETU "LETI", 1993. – pp. 79-80.
  38. Prokopchina S. V. Designing databases and knowledge / Prokopchina S. V. // Collection of works. – St. Petersburg: SPbSETU "LETI", 1993. – p. 25.
  39. Prokopchina S. V. Bayesian intelligent measurements of statistics of characteristics of random variables and processes / Prokopchina S. V. // Abstracts of the report of the international scientific and technical conference "Identification, measurement of characteristics and simulation of random signals". Novosibirsk: SPbSETU "LETI", 1994. pp. 98-99.
  40. Prokopchina S. V. Biosphere monitoring based on new information technologies of Bayesian intelligent measurements / Prokopchina S. V. // Proceedings of the international Symposium "White Nights". – St. Petersburg: 1994. – p. 56.
  41. Prokopchina S. V. Adaptive algorithm of quality control based on the regularizing Bayesian approach / Prokopchina S. V. // Abstracts of the scientific conference report. – Moscow: MEI, 1994. – p. 35.
  42. Prokopchina S. V. Forecasting the volume of possible extraction of bioresources by the method of Bayesian identification of distributions / Prokopchina S. V. // Izvestiya SPbGETU "LETI". – 1994. – pp. 89-95.
  43. Prokopchina S. V. Regularizing Bayesian approach in the problems of intelligent measurements / Prokopchina S. V. // Izvestiya SPbGETU "LETI". – 1994. – no. – pp. 96-101.
  44. Prokopchina, S. V. Development of methods and means of Bayesian intellectualization of measurements in the tasks of monitoring complex objects : specialty 05.11.16 "Information measuring and control systems (by industry)" : dissertation for the degree of Doctor of Technical Sciences / Prokopchina Svetlana Vasilyevna. – St. Petersburg, 1995. – 450 p. – EDN NLIQWJ.
  45. Prokopchina, S. V. Development of methods and means of Bayesian intellectualization of measurements in the tasks of monitoring complex objects : specialty 05.11.16 "Information measuring and control systems (by industry)" : abstract of the dissertation for the degree of Doctor of Technical Sciences / Prokopchina Svetlana Vasilyevna. – St. Petersburg, 1995. – 33 p. – EDN ZJSURF.
  46. Prokopchina S. V. Determination of the state of wild boar in the Leningrad region by means of intelligent measurements / Prokopchina S. V. // SPbGETU "LETI" dep. in VINITI, 28.07.95. – 1995. – № 2324- B95. – p. 35.
  47. Nedosekin, D. D., Prokopchina, S. V., Chernyavsky, E. A. Information technologies of intellectualization of measuring processes / D. D. Nedosekin, S. V. Prokopchina, E. A. Chernyavsky.– St. Petersburg: Energoatomizdat. St. Petersburg Publishing House, 1995 – 178 p.
  48. Gorokhov, V.L. Human-machine information-producing systems for monitoring tasks. The concept of techno-gnostic systems / V.L. Gorokhov, S.V. Prokopchina, A.G. Semenov // Fundamental research in technical universities : materials of the scientific and technical Conference, June 16-17, 1997 / St. Petersburg State Technical University; Association of Technical Universities of the Russian Federation; International Academy of Sciences of Higher Education; [organizing committee: Yu. S. Vasiliev, M. P. Fedorov, A. Ya. Bashkarev [et al.]]. St. Petersburg, 1997. pp. 158-159.
  49. Averkin, A. N. Soft computing and measurements / A. N. Averkin, S. V. Prokopchina // Intelligent systems. - 1997. – Vol. 2, No. 1-4. – pp. 93-114. – EDN LRQYBQ.
  50. Prokopchina, S. V. The concept of Bayesian intellectualization of measurements in the tasks of monitoring complex objects / S. V. Prokopchina // Artificial Intelligence News. – 1997. – No. 3. – p. 7.
  51. Averkin A. N., Prokopchina S. V. A brief outline of the concept of soft measurements / Averkin A. N., Prokopchina S. V. // Intelligent systems. – 04.1997. – № 1-2.
  52. Prokopchina, S. V. Systems for monitoring complex objects and decision support in environmental protection and environmental management / S. V. Prokopchina. – St. Petersburg: Energoatomizdat. St. Petersburg Publishing House, 1998 – 110 c.
  53. Chernyavsky, E. A. Practicum on the analysis of information processes / E. A. Chernyavsky, S. V. Prokopchina. – St. Petersburg: SPbSETU "LETI", 1998 – 118 p.
  54. Prokopchina S. V., Tsvetkov E. I. Measurements in ecology / Prokopchina S. V., Tsvetkov E. I. – St. Petersburg: SPbSETU "LETI", 1998 – 118 p.
  55. Prokopchina S. V., Tsikin A. S. The use of Bayesian intelligent measurement technologies in OLAP systems / Prokopchina S. V., Tsikin A. S. // Proceedings of the International Conference on Soft Computing and Measurements, volume 2. – St. Petersburg: SPbSETU "LETI", June 22-26, 1998. – pp. 12-21.
  56. Prokopchina S. V., Tsikin A. S. Application of Bayesian regularization approach methods for monitoring securities and currencies / Prokopchina S. V., Tsikin A. S. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", June 22-26, 1998. – pp. 220-224.
  57. Prokopchina S. V. Bayesian integrating technologies based on intelligent and soft measurements / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements, volume 1. – St. Petersburg: SPbSETU "LETI", May 25-28, 1999 – pp. 25-32.
  58. Prokopchina S. V. Developing integrating networks based on the regularizing Bayesian approach / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2000. – pp. 27-34.
  59. Prokopchina S. V., Chernyavsky E. A. Entropy estimation of an object system in an uncertainty zone / Prokopchina S. V., Chernyavsky E. A. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2000. – pp. 89-95.
  60. Prokopchina S. V., Mazur I. I. Distributed Information and Analytical Center for Intelligent Technologies in RAO ROSNEFTEGAZSTROY / Prokopchina S. V., Mazur I. I. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg:SPbSETU "LETI", 2001. – pp. 19-25.
  61. Prokopchina S. V. Quality and risk management of solutions in distributed information and analytical systems based on Bayesian integrating technologies and intelligent systems / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2001. – pp. 98-107.
  62. Prokopchina S. V., Chernyavsky E. A. Entropy criterion of noise immunity of information transmission channels / Prokopchina S. V., Chernyavsky E. A. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2001. – pp. 23-25.
  63. Prokopchina S. V. Bayesian intelligent technologies for auditing and managing complex objects in conditions of significant uncertainty / Prokopchina S. V. // International Conference on Soft Computing and Measurements. Vol. 1. – St. Petersburg: SPbSETU "LETI", 2002. – p. 27.
  64. Prokopchina S. V. Methodology of decision support in the management of energy supply organizations based on the regularizing Bayesian approach / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2003. – pp. 27-33.
  65. Prokopchina S. V. Principles of creating a unified information space based on Bayesian intelligent technologies / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2003. – pp. 64-69.
  66. Prokopchina S. V., Sergienko S. N. Approximation of the law of distribution of sample data based on the regularizing Bayesian approach / Prokopchina S. V., Sergienko S. N. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2003. – pp. 45-55.
  67. Prokopchina S. V. Intellectual Workplace of a quality specialist / Certificate of state registration of a computer program: No. 2004610246 dated 02/19/2004
  68. Prokopchina S. V. Infoanalyst / Certificate of state registration of a computer program: No. 2004611741 dated 08/12/2004
  69. Prokopchina S. V. Intellectual workplace of an ecologist / Certificate of state registration of a computer program: No. 2004610498 dated 02/19/2004
  70. Prokopchina S. V. Intellectual Workplace of the financial director / Certificate of state registration of a computer program: No. 2005611423 dated 08.08.2005
  71. Prokopchina S. V. Principles of creating developing information technologies based on the regularizing Bayesian approach / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", June 27-29, 2005. – pp. 48-57.
  72. Lukyanets, A. A. Methodology of decision support in the management of energy supply organizations based on the regularizing Bayesian approach : scientific and practical. the manual / A. A. Lukyanets, S. V. Prokopchina ; A. A. Lukyanets, S. V. Prokopchina. – Tomsk : Non-profit Development Fund region. Energetics, 2006. – 193 p. – ISBN 5-9900439-3-7. – EDN QRBAIH.
  73. Prokopchina S. V. Project management in conditions of uncertainty based on a regularizing Bayesian approach / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2006. Vol. 1. – p. 36.
  74. Fedichkin, A. I. Application of Bayesian intelligent technologies (bits) for the evaluation of integral indicators / A. I. Fedichkin // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2006. Vol. 27. – pp. 88-98
  75. Prokopchina S. V. Intellectual Workplace of an enterprise manager / Certificate of state registration of a computer program: No. 2006610206 dated 03/21/2006
  76. Prokopchina S. V. Intellectual Training Complex for specialists of the enterprise / Certificate of state registration of a computer program: No. 2006610210 dated 03/21/2006
  77. Prokopchina S. V. Intellectual Workplace of a territory management specialist / Certificate of state registration of a computer program: No. 2006610207 dated 03/21/2006
  78. Prokopchina S. V. Intellectual Workplace power engineering based on BI AND / Certificate of state registration of a computer program: No. 2006610207 dated 03/21/2006
  79. Fedichkin, A. I. Forecasting the characteristics of complex objects based on Bayesian intelligent technologies / A. I. Fedichkin // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2007. – pp. 23-36.
  80. Prokopchina S. V. System of mathematical processing of uncertain information based on RBA (Regularizing Bayesian Approach) / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2007. – pp. 78-91.
  81. Prokopchina S. V. Generator of analytical reports in the Infoanalytic system / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2007. – pp. 23-27.
  82. Prokopchina S. V. System of mathematical processing of statistical information "Bayesian Mathematical statistics" / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", 2007. – pp. 35-45.
  83. Prokopchina S. V. Trends and prospects of information technology development / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", June 25-27, 2007. – pp. 25-35.
  84. Prokopchina S. V., Fedichkin A. I. Application of Bayesian intelligent technologies for assessing and predicting the states of complex objects / Prokopchina S. V., Fedichkin A. I. // Technical and technological problems of service. - 2007. – No. 2. – p. 108.
  85. Prokopchina S. V. Synthesis of developing information technologies for transport management / Prokopchina S. V. // Technical and technological problems of service. - 2007. – No. 2. – p. 119.
  86. Prokopchina, S. V. Implementation of the principles of the knowledge economy based on Bayesian intelligent technologies / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2008. – Vol. 1. – pp. 26-32. – EDN VJFSJH.
  87. Malashin, I. A. Measuring indicators of sustainability of territories based on Bayesian intelligent technologies / I. A. Malashin, S. V. Prokopchina, V. G. Chekalin // International Conference on Soft Computing and Measurements. – 2008. – Vol. 2. – pp. 11-20. – EDN VJFTDR.
  88. Prokopchina, S. V. Methodological aspects of the theory of soft measurements / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2009. – Vol. 1. – pp. 49-63. – EDN VKQNCH.
  89. Prokopchina, S. V. Development of intelligent measurement and analytical networks for optimizing fishing activities implemented on the basis of Bayesian integrating technologies / S. V. Prokopchina, O. A. Anashkin, N. S. Vorobyov // International Conference on Soft Computing and Measurements. - 2009. – Vol. 2. – pp. 28-32. – EDN VKQNXV.
  90. Prokopchina S. V. Mechanisms and investment opportunities of innovative development of agro-settlements (Principles of Green Skolkovo) / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg:SPbSETU "LETI", June 25-27, 2009 – pp. 137-143.
  91. Prokopchina S. V. An intelligent system for managing fisheries activities in inland waters / Prokopchina S. V. // Proceedings of the International Conference on Soft Computing and Measurements. — St. Petersburg: SPbSETU "LETI", June 25-27, 2009 — pp. 202-210.
  92. Prokopchina S. V. Basic principles of solving economic problems in conditions of information uncertainty / Prokopchina S. V. // Proceedings of the Free Economic Society of Russia. - 2010. – volume 144. – p. 32.
  93. Prokopchina S. V. Methodological aspects of Bayesian intellectual technologies based on the regularizing Bayesian approach / Prokopchina S. V. // Proceedings of the Free Economic Society of Russia. - 2010. – volume 144. – p. 12.
  94. Prokopchina S. V., Shcherbakov G. A. Mathematical methods in economics: history and prospects / Prokopchina S. V., Shcherbakov G. A. // Proceedings of the Free Economic Society of Russia. - 2010. – volume 144. – p. 13.
  95. Prokopchina S. V. Bayesian intellectual technologies in the knowledge economy / Prokopchina S. V. // Proceedings of the Free Economic Society of Russia. - 2010. – volume 144. – p. 37.
  96. Prokopchina S. V. Creation of developing information technologies based on the regularizing Bayesian approach / Prokopchina S. V. // Proceedings of the Free Economic Society of Russia. - 2010. – volume 144. – p. 23.
  97. Prokopchina S. V. Solving socio-economic problems in conditions of uncertainty based on Bayesian intelligent technologies / Prokopchina S. V. // Proceedings of the Free Economic Society of Russia. - 2010. – volume 144. – p. 80.
  98. Prokopchina S. V. Bayesian intelligent technologies for "soft" control of complex objects in conditions of significant uncertainty / Prokopchina S. V. // Proceedings of the Free Economic Society of Russia. - 2010. – volume 144. – p. 123.
  99. Prokopchina S. V. Application of cognitive measurements based on Bayesian intellectual technologies in economic problems / Prokopchina S. V. // Proceedings of the Free Economic Society of Russia. - 2010. – volume 144. – p. 134.
  100. Prokopchina, S. V. Cognitive measurements based on Bayesian intelligent technologies / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2010. – Vol. 1. – pp. 28-34. – EDN VLCNKR.
  101. Prokopchina, S. V. Fuzzy models of Bayesian intelligent technologies / S. V. Prokopchina, D. A. Ukrainsky // International Conference on Soft Computing and Measurements. - 2010. – Vol. 1. – pp. 52-57. – EDN THKBSU.
  102. Prokopchina, S. V. Determination of dynamic models, trends and risks of boiler house condition indicators based on a regularizing Bayesian approach / S. V. Prokopchina, L. Y. Chernikov // International Conference on Soft Computing and Measurements. - 2011. – Vol. 1. – pp. 222-225. – EDN VBKECB.
  103. Prokopchina, S. V. Bayesian mathematical statistics. Determination of the distribution laws of multidimensional nonstationary processes based on Bayesian intelligent technologies / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2011. – Vol. 1. – pp. 23-31. – EDN VBKDOZ.
  104. Prokopchina, S. V. Solving socio-economic problems based on Bayesian intelligent technologies / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2011. – Vol. 1. – pp. 36-61. – EDN VBKDPT.
  105. Prokopchina, S. V. Basic principles of solving problems of measurement and management of complex anthropogenic objects in conditions of uncertainty / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2012. – Vol. 1. – pp. 23-34. – EDN VBKEKD.
  106. Prokopchina, S. V. Cognitive measurements based on Bayesian intelligent technologies / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2010. – Vol. 1. – pp. 28-34. – EDN VLCNKR.
  107. Prokopchina, S. V. Fuzzy models of Bayesian intelligent technologies / S. V. Prokopchina, D. A. Ukrainsky // International Conference on Soft Computing and Measurements. - 2010. – Vol. 1. – pp. 52-57. – EDN THKBSU.
  108. Prokopchina, S. V. Determination of dynamic models, trends and risks of boiler house condition indicators based on a regularizing Bayesian approach / S. V. Prokopchina, L. Y. Chernikov // International Conference on Soft Computing and Measurements. - 2011. – Vol. 1. – pp. 222-225. – EDN VBKECB.
  109. Prokopchina, S. V. Bayesian mathematical statistics. Determination of the distribution laws of multidimensional nonstationary processes based on Bayesian intelligent technologies / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2011. – Vol. 1. – pp. 23-31. – EDN VBKDOZ.
  110. Prokopchina, S. V. Solving socio-economic problems based on Bayesian intelligent technologies / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2011. – Vol. 1. – pp. 36-61. – EDN VBKDPT.
  111. Prokopchina, S. V. Basic principles of solving problems of measurement and management of complex anthropogenic objects in conditions of uncertainty / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2012. – Vol. 1. – pp. 23-34. – EDN VBKEKD.
  112. Mazur, I. I. Fundamentals of ensuring continuity and consistency of the corporate governance system / I. I. Mazur, S. V. Prokopchina, S. V. Sochnev // International Conference on Soft Computing and Measurements. - 2012. – Vol. 1. – pp. 43-52. – EDN VBKEKX.
  113. Prokopchina S. V. An intelligent system for managing biofuel reproduction as a basis for creating agrotechnoparks / Prokopchina S. V. [Text] // Proceedings of the International Conference on Soft Computing and Measurements. – St. Petersburg: SPbSETU "LETI", June 25-27, 2012 – pp. 138-150.
  114. Vetrov, A. N. Application of Bayesian intelligent technologies for the organization of maintenance of water supply networks / A. N. Vetrov, S. V. Prokopchina, S. A. Sheremetyev // Technical and technological problems of service. – 2013. – № 4(26). – Pp. 104-109. – EDN RNIWXB.
  115. Prokopchina, S. V. Intelligent networks of energy and housing and communal services based on the regularizing Bayesian approach / S. V. Prokopchina // Technical and technological problems of service. – 2013. – № 4(26). – Pp. 99-103. – EDN RNIWWR.
  116. Prokopchina, S. V. On the approach to measuring indicators of socio-humanitarian potentials using Bayesian intelligent technologies / S. V. Prokopchina // State Audit. Right. Economy. - 2013. – No. 3. – pp. 73-82. – EDN VJKNVZ.
  117. Prokopchina, S. V. Towards the release of a collective monograph: management in conditions of uncertainty / S. V. Prokopchina // International Conference on Soft Computing and Measurements. – 2013. – Vol. 1. – pp. 11-13. – EDN VBKFBL.
  118. Prokopchina, S. V. Intelligent networks of energy and housing and communal services based on the regularizing Bayesian approach / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2013. – Vol. 1. – pp. 20-26. – EDN VBKFCF.
  119. Kotelnikov, V. G., Prokopchina, S. V. System analysis in management: support for the development, adoption and justification of management decisions / V. G. Kotelnikov, S. V. Prokopchina [Text] // Proceedings of the IX International Scientific and Practical Conference "Scientific industry of the European continent" Part 13. Economic sciences. Administration. Political science. November 27 – December 05, 2013 – Prague: Education and Science Publishing House, 2013. – pp. 27-39.
  120. Prokopchina S. V. Process approach in water supply based on Bayesian intelligent technologies / Prokopchina S. V. // Systems and software. - 2013. – No. 4. – pp. 95-99.
  121. Management in conditions of uncertainty / S. V. Prokopchina, M. Yu. Shestopalov, L. V. Utkin [et al.]; St. Petersburg State Electrotechnical University "LETI" named after V.I. Ulyanov (Lenin). – St. Petersburg : St. Petersburg State Electrotechnical University "LETI" named after V.I. Ulyanov (Lenin), 2014. – 304 p. – ISBN 978-5-7629-1499-4. – EDN YTMVSH.
  122. Prokopchina, S. V. Methodological aspects of solving problems of polysystem measurements in conditions of uncertainty / S. V. Prokopchina // System Economics, Economic Cybernetics, soft Dimensions : XVII International Conference, St. Petersburg, June 04, 2014 / International Association of Fuzzy Systems; Ministry of Education and Science of the Russian Federation; Scientific Council on Artificial Intelligence of the Russian Academy of Sciences; St. Petersburg State Electrotechnical University "LETI" named after V.I. Ulyanov (Lenin); Financial University under the Government of the Russian Federation; Edited by G.B. Kleiner, S.V. Smoked meat. – St. Petersburg: St. Petersburg State Electrotechnical University "LETI" named after V.I. Ulyanov (Lenin), 2014. – pp. 43-49. – EDN TZANNJ.
  123. Kotelnikov, V. G. Information technology for supporting the quality of functioning of complex systems / V. G. Kotelnikov, S. V. Prokopchina, A.V. Tolstov // System economics, economic cybernetics, soft measurements : XVII International Conference, St. Petersburg, June 04, 2014 / International Association of Fuzzy Systems; Ministry of Education and Science of the Russian Federation; Scientific Council on Artificial Intelligence of the Russian Academy of Sciences; St. Petersburg State Electrotechnical University "LETI" named after V.I. Ulyanov (Lenin); Financial University under the Government of the Russian Federation; Edited by G.B. Kleiner, S.V. Prokopchina. – St. Petersburg: St. Petersburg State Electrotechnical University "LETI" named after V.I. Ulyanov (Lenin), 2014. – pp. 50-57. – EDN TZANNT.
  124. Prokopchina S.V., Kupriyanov M.S. Creation of algorithmic models to control self-developing redundant systems / Prokopchina S.V., Kupriyanov M.S. // Proceedings of XI International conference on Application of Fuzzy Systems and Soft Computing ICAFS-2014 September 2-3. – Paris, France: 2014.
  125. Prokopchina S. V., Efimov Yu. V. The principles of the creation of the developing information technologies on the basis of regularizating Bayesian Approach / Prokopchina S. V., Efimov Yu. V. [Текст] // Proceedings of XI International conference on Application of Fuzzy Systems and Soft Computing ICAFS-2014 September 2-3. – Paris, France: 2014.
  126. Vetrov, A. N. Automation of water supply enterprise management based on a process approach / A. N. Vetrov, S. V. Prokopchina, S. A. Sheremetyev // Software products and systems. - 2014. – No. 1. – pp. 201-205. – EDN TFCUNF.
  127. Vetrov, A. N. Investment risk management of construction organizations based on Bayesian information technologies / A. N. Vetrov, S. V. Prokopchina, A. O. Nesterov // Software products and systems. - 2014. – No. 1. – pp. 212-216. – EDN TFCUOJ.
  128. Prokopchina, S. V. Measurement of energy efficiency indicators based on Bayesian intelligent technologies / S. V. Prokopchina, A. N. Vetrov, A. O. Nesterov // Technical and technological problems of service. – 2014. – № 4(30). – Pp. 102-107. – EDN TGSDZX.
  129. Prokopchina, S. V. Mathematical methods of economics: history and prospects / S. V. Prokopchina, G. A. Shcherbakov // Economics and management: problems, solutions. - 2014. – No. 12. – pp. 139-146. – EDN TDRSWZ.
  130. Prokopchina, S. V. Bayesian intelligent technologies for "soft" control of complex dynamic systems based on the principles of polysystem management / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2014. – Vol. 1. – pp. 15-19. – EDN UZNHPT.
  131. Prokopchina, S. V. Bayesian intelligent technologies for auditing and "soft" management of polysystem environments in conditions of significant uncertainty / S. V. Prokopchina // Systemic Economics, Economic Cybernetics, soft Measurements in Economic Systems, Moscow, July 01-02, 2015 / edited by G.B. Kleiner and S.V. Prokopchina. – Moscow: Publishing House "Scientific Library", 2015. – pp. 22-28. – EDN VCVXAR.
  132. Prokopchina, S. V. Strengthening the volatility of macroeconomic development in conditions of instability of the world monetary system and unsettled monetary and financial relations / S. V. Prokopchina, G. A. Shcherbakov // Systemic economics, economic cybernetics, soft measurements in economic systems, Moscow, July 01-02, 2015 / edited by G.B. Kleiner and S.V. Prokopchina. – Moscow: Publishing House "Scientific Library", 2015. – pp. 308-313. – EDN VCWENH.
  133. Prokopchina S. V., Shchepetova S. E. Modern methods of managing complex infrastructure systems in conditions of uncertainty and instability of the operating environment – Moscow: Federal State Educational Budgetary Institution of Higher Education "Financial University under the Government of the Russian Federation" (Customer – LLC "Motor Resources", contract dated 04/22/2014 №HD-14-02)
  134. Prokopchina, S. V. Bayesian intelligent technologies for "soft" management of polysystem environments in conditions of significant uncertainty / S. V. Prokopchina // System Analysis in Economics — 2014 : Proceedings of the III International Scientific and Practical Conference, Moscow, November 13-14, 2014 / Edited by G.B. Kleiner. Volume 2. – Moscow: Central Economic and Mathematical Institute of the Russian Academy of Sciences, 2015. – pp. 245-250. – EDN ZUDIYT.
  135. Prokopchina, S. V. Bayesian intellectual technologies in the knowledge economy / S. V. Prokopchina // Economics and management: problems, solutions. - 2015. – Vol. 1, No. 2. – pp. 34-39. – EDN TIRVLN.
  136. Prokopchina, S. V. Basic principles of solving economic problems in conditions of information uncertainty / S. V. Prokopchina // Economics and management: problems, solutions. - 2015. – Vol. 1, No. 4. – pp. 14-20. – EDN TPCSPF.
  137. Prokopchina, S. V. Soft measurements and management of complex systems based on the regularizing Bayesian approach / S. V. Prokopchina // Economics and management: problems, solutions. – 2015. – Vol. 5, No. 12. – pp. 16-25. – EDN XIHSIF.
  138. Assessment of the sustainability of the development of sectors of the Russian economy within the framework of scenario forecasts of macroeconomic indicators of the Ministry of Economic Development of Russia based on Bayesian intelligent technologies / O. V. Kozhevina, L. V. Perednikh, S. V. Prokopchina, I. M. Gorodisky // Economics and management: problems, solutions. - 2015. – Vol. 5, No. 12. – pp. 26-37. – EDN XIHSIP.
  139. Prokopchina, S. V. Methodological and information technology aspects of the economic reform of housing and communal services / S. V. Prokopchina // Economics and management: problems, solutions. – 2015. – Vol. 5, No. 12. – pp. 97-113. – EDN XIHSLR.
  140. Bandurin, V. V. Analysis of the budget system of the Russian Federation as a polysystem environment in conditions of significant uncertainty / V. V. Bandurin, S. V. Prokopchina // State Audit. Right. Economy. - 2015. – No. 3. – pp. 18-24. – EDN VOEOSX.
  141. Prokopchina, S. V. Methodological aspects of the organization of polysystem measurements in "Smart" systems / S. V. Prokopchina // International Conference on Soft Computing and Measurements. – 2015. – Vol. 2. – pp. 231-235. – EDN VBLCOZ.
  142. Prokopchina S. V., Eskindarov M. A., Krasavina L. N., Abramova M. A., Jagityan E. P., Zvonova E. A. and others. Formation of monetary and currency mechanisms to ensure financial stability and economic growth, taking into account the prospects for the development of the integration of the EAEU - Moscow: Federal State Educational Budgetary Institution of Higher Education "Financial University under the Government of the Russian Federation". Research Report No. N-09/159 dated 07.12.2015 (The Customer is the Eurasian Economic Commission, Agreement No.HD No.N-09/159 dated 07.12.2015)
  143. Prokopchina S. V., Bayesian intelligent technologies for auditing and "soft" management of polysystem environments in conditions of significant uncertainty – M.: In the proceedings of the XVIII International Conference on Soft Computing and Measurements Moscow, July 01-02, 2015: System economics, economic cybernetics, soft measurements in economic systems. Edited by G. B. Kleiner and S. V. Prokopchina. Publishing house: Publishing house "SCIENTIFIC LIBRARY", 2015. – pp.22-28
  144. Prokopchina, S. V. Principles and technologies of soft management of polysystem environments in conditions of significant uncertainty / S. V. Prokopchina // Managerial Sciences. - 2016. – Vol. 6, No. 1. – pp. 17-25. – EDN WDJVEF.
  145. Prokopchina, S. V. Measurement and management of potentials and risks of complex systems using a regularizing Bayesian approach / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2016. – Vol. 1. – pp. 7-10. – EDN UMUUQO.
  146. Prokopchina S. V., Shchepetova S. E., Kleiner G. B., Vasilyeva Yu. A. Application of innovative technologies to improve the efficiency of enterprise management of KONUS-R LLC based on international standards – Moscow: Federal State Educational Budgetary Institution of Higher Education "Financial University under the Government of the Russian Federation". (The customer is STC KONUS-R LLC, contract No.HD-16-02 dated 02/20/2016)
  147. Kozhevina O.V., Bogachev Y.S., Bataeva B.S., Prokopchina S.V., Linder N.V., Trifonov P.V., Perednih P., Sirotenko M.V., Zhukova A.A. Model of sustainable development of branches of the Russian economy: dynamics, financial risks, efficiency – M.: Federal State Educational Budgetary Institution of Higher Education "Financial University under the Government of the Russian Federation". research report dated 04/26/2017 (State assignment, Order of the University of Finance dated 04/28/2016 No.0998/o)
  148. Soft Computing and measurements / V. B. Tarasov, V. L. Lazarev, V. L. Gorokhov [et al.] ; Edited by S.V. Prokopchennaya. Volume 1. – Moscow : Publishing House "Scientific Library", 2017. – 420 p. – ISBN 9875990993174. – EDN YVDVIT.
  149. Soft Computing and measurements / A. A. Averkin, V. B. Gisin, E. S. Volkova [et al.]. Volume 2. – Moscow : Publishing House "Scientific Library", 2017. – 414 p. – ISBN 9875990993198. – EDN YVDWCD.
  150. Soft Computing and measurements / A. L. Tulupyev, T. V. Tulupyeva, A.V. Suvorova [et al.]. Volume 3. – Moscow : Publishing House "Scientific Library", 2017. – 300 p. – ISBN 9875990993174. – EDN XPGXJJ.
  151. Kozhevina, O. V. Dynamic modeling of sustainable development of agricultural industries in conditions of uncertainty / O. V. Kozhevina, S. V. Prokopchina, L. V. Perednikh // Agroindustrial complex: economics, management. - 2017. – No. 3. – pp. 51-58. – EDN XYCJNX.
  152. Prokopchina, S. V. Methodology and application of a soft approach to solving economic problems / S. V. Prokopchina // Economics and management: problems, solutions. - 2017. – Vol. 3, No. 6. – pp. 127-131. – EDN ZIBMCV.
  153. Kozhevina, O. V. The influence of macroeconomic factors on the modeling of industry dynamics / O. V. Kozhevina, S. V. Prokopchina, L. V. Front // Economics and management: problems, solutions. - 2017. – Vol. 4, No. 1. – pp. 26-35. – EDN ZELOOL.
  154. Prokopchina, S. V. Definition of the analytical form of the distribution law in conditions of small samples based on the regularizing Bayesian approach / S. V. Prokopchina // Economics and management: problems, solutions. - 2017. – Vol. 4, No. 1. – pp. 3-10. – EDN ZELONH.
  155. Prokopchina, S. V. System synthesis in conditions of uncertainty / S. V. Prokopchina // Economics and management: problems, solutions. - 2017. – Vol. 4, No. 1. – pp. 94-100. – EDN ZELOQT.
  156. Prokopchina, S. V. Econometric methods in conditions of uncertainty / S. V. Prokopchina // Economics and management: problems, solutions. - 2017. – Vol. 4, No. 3. – pp. 13-17. – EDN YTQTVP.
  157. Prokopchina, S. V. Soft technologies and tools for auditing and management of production systems in conditions of instability and uncertainty / S. V. Prokopchina // Economics and management: problems, solutions. - 2017. – Vol. 4, No. 5-1. – pp. 108-112. – EDN YZMOGN.
  158. Prokopchina S. V. Soft approaches to managing complex systems / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2017. – Vol. 1. – pp. 7-14.
  159. Prokopchina, S. V. Modern measurement theory: classification of measurement types / S. V. Prokopchina // Soft measurements and Computing. – 2017. – № 1(1). – Pp. 4-16. – EDN XUXIRF.
  160. Prokopchina, S. V. Bayesian intelligent technologies and systems for assessing socio-humanitarian potentials, strategic planning and management of territorial development / S. V. Prokopchina // Collection of reports of the XI International Symposium "Reflexive processes and management" October 16-17, 2017, edited by V. E. Lepsky. – M.: "Cognitive Center", 2017. – pp. 129-134.
  161. Prokopchina S. V., Slavin B. B., Maksimova E. V. Development of a methodology for assessing the financial situation of credit institutions, including a system of quantitative and qualitative indicators, including using credit ratings assigned by Russian and international rating agencies (report on research) – M.: Federal State Educational Budgetary Institution of Higher Education "Financial University under the Government of the Russian Federation". (The customer is INEK-Information Technologies LLC, contract No.HD-18-08 dated 01.07.2018)
  162. Tools for assessing and ensuring the sustainable development of sectors of the Russian economy / O. V. Kozhevina, B. S. Bataeva, Y. S. Bogachev [et al.]. – Moscow : Limited Liability Company "Scientific Publishing Center INFRA-M", 2018. – 174 p. – (Scientific thought). – ISBN 978-5-16-013073-6. – DOI 10.12737/monography_59b672f7ddb609.66393241. – EDN ZSVGZT.
  163. Prokopchina S. V., Shcherbakov G. A., Efimov Yu. V. Modeling of socio-economic systems in conditions of uncertainty a practical textbook / Prokopchina S. V., Shcherbakov G. A., Efimov Yu. V.; edited by G. A. Shcherbakov. — M.: Publishing House "SCIENTIFIC LIBRARY", 2018. – 506 p.
  164. Prokopchina S. V. Methods and means of modeling the distribution law under uncertainty monograph / S. V. Prokopchina. M. – Publishing House "SCIENTIFIC LIBRARY", 2018 – 252 p. – ISBN 978-5-6040895-9-0.
  165. Prokopchina S. V., Kleiner G. B., Lepsky V. E., Drogobytsky I. N., Nechaev Yu. I., Shcherbakov G. A. and others. Soft Computing and measurements. Volume IV / edited by Doctor of Technical Sciences, prof. S.V. Prokopchennaya. – M.: Publishing house "SCIENTIFIC LIBRARY", 2018. – 342 p. – ISBN 978-5-907242-44-9.
  166. Prokopchina, S. The role of soft measurements in creating the technological basis of the digital economy / S. Prokopchina // System analysis in economics — 2018 : Proceedings of the V International research and practice conference-biennale, Moscow, November 21-23, 2018. – Moscow: Prometheus Publishing Limited Liability Company, 2018. – P. 182-184. – DOI 10.33278/SAE-2018.eng.182-184. – EDN YUHEHZ.
  167. Prokopchina, S. V. The role of soft measurements in creating the technological basis of the digital economy / S. V. Prokopchina // System Analysis in Economics — 2018 : Proceedings of the V International Scientific and Practical Conference-Biennale, Moscow, November 21-23, 2018 / Under the general editorship of G.B. Kleiner, S.E. Shchepetova. – Moscow: Prometheus Publishing House Limited Liability Company, 2018. – pp. 219-222. – DOI 10.33278/SAE-2018.rus.219-222. – EDN YTDMIH.
  168. Prokopchina, S. V. Cognitive Bayesian networks for strategic planning and management of territorial development / S. V. Prokopchina // Economics and management: problems, solutions. - 2018. – Vol. 1, No. 8. – pp. 53-57. – EDN UVXVIG.
  169. Prokopchina, S. V. Methodology and algorithmic basis for constructing a scale with dynamic constraints / S. V. Prokopchina // Economics and management: problems, solutions. - 2018. – Vol. 2, No. 7. – pp. 109-112. – EDN XVLZXF.
  170. Prokopchina, S. V. Cognitive Bayesian measurement networks for modeling complex systems under uncertainty / S. V. Prokopchina // Economics and management: problems, solutions. - 2018. – Vol. 3, No. 7. – pp. 18-25. – EDN XVLZGH.
  171. Prokopchina, S. V. Determination of the required volume of sample data to create a scale with dynamic constraints / S. V. Prokopchina // Economics and management: problems, solutions. - 2018. – Vol. 4, No. 6. – pp. 109-114. – EDN UWASUR.
  172. Prokopchina, S. V. Systematization of methods of generalized measurement theory for solving socio-economic problems / S. V. Prokopchina // Economics and management: problems, solutions. - 2018. – Vol. 5, No. 5. – pp. 214-221. – EDN UUNQOQ.
  173. Prokopchina, C. V. Modern measurement theory: classification of measurement types / C. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2018. – Vol. 2. – pp. 229-232. – EDN VKKEVB.
  174. Efimov, Yu. V. Estimation of the cost of shipbuilding products based on the regularizing Bayesian approach / Yu. V. Efimov, S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2018. – Vol. 2. – pp. 392-393. – EDN MFYKLR.
  175. Prokopchina, S. V. A systematic approach in conditions of uncertainty. From system measurements to system synthesis / S. V. Prokopchina // Soft measurements and Computing. – 2018. – № 11(12). – Pp. 3-13. – EDN YXUOPR.
  176. Prokopchina, S. V. Cognitive measurement networks based on Bayesian intelligent technologies / S. V. Prokopchina // Soft measurements and Computing. – 2018. – № 2(3). – Pp. 56-64. – EDN UVODEM.
  177. Prokopchina, S. V. Principles and methodological aspects of constructing a scale with dynamic constraints for measurements under uncertainty / S. V. Prokopchina // Soft measurements and Computing. – 2018. – № 3(4). – Pp. 4-15. – EDN UVODJW.
  178. Prokopchina, S. V. Methodology for the organization of monitoring and measurement of the properties of man-made and natural complexes based on cognitive Bayesian measurement networks / S. V. Prokopchina // Soft measurements and Computing. – 2018. – № 5(6). – Pp. 10-14. – EDN YMBGJF.
  179. Prokopchina, S. V. Methods of mathematical statistics and econometrics in conditions of uncertainty based on the regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. – 2018. – № 7(8). – Pp. 30-51. – EDN VKOCNE.
  180. Prokopchina, S. V. Soft measurements: methodology and application in scientific, technical and socio-economic tasks of the digital economy / S. V. Prokopchina // Soft measurements and Computing. – 2018. – № 9(10). – Pp. 4-33. – EDN YOLSTB.
  181. Prokopchina, S. V. Bayesian intelligent technologies as a methodological basis for processing big data in conditions of uncertainty / S. V. Prokopchina // Economics and management: problems, solutions. – 2019. – Vol. 11, No. 3. – pp. 105-109. – EDN HBEIXI.
  182. Soft Computing and measurements. Methods, information technologies and means of intellectual information processing in the tasks of digitalization monograph / edited by Doctor of Technical Sciences, prof. S.V. Prokopchina. – M.: Publishing house "SCIENTIFIC LIBRARY", 2019 – 616 p. – ISBN 978-5-6042213-9-6.
  183. Prokopchina S. V., Shcherbakov G. A., Efimov Yu. V. Modeling of socio-economic systems in conditions of uncertainty textbook – workshop, 2nd edition / Prokopchina S. V., Shcherbakov G. A., Efimov Yu. V.; edited by G. A. Shcherbakov. — M.: Publishing House "SCIENTIFIC LIBRARY", 2019. – 508 p. – ISBN 978-5-907242-40-1.
  184. Prokopchina, S. V. Implementation of the processes of digitalization of the regional economy on the basis of intellectual workplaces of specialists / S. V. Prokopchina // Economics and management: problems, solutions. – 2019. – Vol. 12, No. 3. – pp. 78-86. – EDN WBDPZU.
  185. Prokopchina, S. V. Measuring aspects of digitalization of socio-economic processes based on the regularizing Bayesian approach / S. V. Prokopchina // Economics and management: problems, solutions. – 2019. – Vol. 8, No. 3. – pp. 41-45. – EDN CZWZVU.
  186. Prokopchina, S. V. Bayesian intelligent technologies: methodology and application in digitalization tasks / S. V. Prokopchina // International Conference on Soft Computing and Measurements. – 2019. – Vol. 1. – pp. 3-6. – EDN OSLZYA.
  187. Prokopchina, S. V. Measuring aspects of digitalization of socio-economic processes based on the regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. – 2019. – № 1(14). – Pp. 41-45. – EDN RWFEOZ.
  188. Prokopchina, S. V. Conceptual models for intellectual measurements of factors of innovative development of the subjects of the Federation in the context of digitalization / S. V. Prokopchina // Soft measurements and Computing. – 2019. – № 12(25). – Pp. 5-33. – EDN ANCFMM.
  189. Prokopchina, S. V. Implementation of the processes of digitalization of the regional economy on the basis of intellectual workplaces of specialists / S. V. Prokopchina // Soft measurements and Computing. – 2019. – № 2(15). – Pp. 16-26. – EDN GTDMGU.
  190. Prokopchina, S. V. Methodological aspects and principles of digitalization in conditions of instability and uncertainty: a regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. – 2019. – № 3(16). – Pp. 38-44. – EDN CKWCQB.
  191. Prokopchina, S. V. Intellectual workplaces of specialists for the creation of technological platforms of the digital economy / S. V. Prokopchina // Soft measurements and Computing. – 2019. – № 4(17). – Pp. 22-41. – EDN NDJIFV.
  192. Prokopchina, S. V. From intelligent measurements to intelligent systems in conditions of uncertainty. Regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. – 2019. – № 7(20). – Pp. 27-33. – EDN KGWEUV.
  193. Prokopchina S. V. Modeling the laws of distributions of random variables and processes in a textbook / S. V. Prokopchina. – M.: Publishing House "SCIENTIFIC LIBRARY", 2019. p. 260. – ISBN 978-5-907242-01-2.
  194. Prokopchina, S. V. Intellectualization of regional situational centers based on Bayesian cognitive networks and intellectual workplaces of specialists / S. V. Prokopchina // Soft measurements and Computing. – 2019. – № 9(22). – Pp. 8-23. – EDN PFFECT.
  195. Ilyin IV, Prokopchina C In (2019) The Global Measurement. The New Trend in Measurement Science / Proceedings Paper. 5th International Conference on Sensors and Electronics Instrumentation Advances (SEIA). Adeje, SPAIN SEP 25-27, pp. 326-327
  196. Prokopchina SV (2019) New Trends in Measurement Science. Bayesian Intelligent Measurements / Proceedings Paper. 5th International Conference on Sensors and Electronic Instrumentation Advances (SEIA) SENSORS AND ELECTRONIC INSTRUMENTATION ADVANCES (SEIA’ 19). Adeje, SPAIN. SEP 25-27, Pp. 317-322
  197. Prokopchina, S. V. Methodological Aspects of the Concept of Global Measurements / S. V. Prokopchina // Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020 : 23, St. Petersburg, May 27-29, 2020. – St. Petersburg, 2020. – P. 3-6. – DOI 10.1109/SCM50615.2020.9198796. – EDN PLJJEB.
  198. Prokopchina, S. V. Bayesian Intelligent Technologies for Managing Complex Production Systems / S. V. Prokopchina, S. N. Mishchenko // Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020 : 23, St. Petersburg, May 27-29, 2020. – St. Petersburg, 2020. – P. 97-100. – DOI 10.1109/SCM50615.2020.9198794. – EDN ZXPVNC.
  199. Prokopchina, S. Preface / S. Prokopchina // Journal of Physics: Conference Series : 23, St. Petersburg, May 27-29, 2020. – St. Petersburg, 2020. – P. 011001. – DOI 10.1088/1742-6596/1703/1/011001. – EDN JOOOVQ.
  200. Prokopchina, S. V. Methodological foundations of scaling in modern Measurement Theory. Classification of measurement scales and their application under uncertainty based on Bayesian Intelligent Technologies / S. V. Prokopchina // Journal of Physics: Conference Series : 23, St. Petersburg, May 27-29, 2020. – St. Petersburg, 2020. - p. 012003. – DOI 10.1088/1742-6596/1703/1/012003. – ED. NZYYKX.
  201. Prokopchina, S. V. Methods for implementing the concept of “Smart City" based on Bayesian Intelligent Technologies / S. V. Prokopchina // Journal of Physics: Conference Series : 23, St. Petersburg, May 27-29, 2020. – St. Petersburg, 2020. – P. 012018. – DOI 10.1088/1742-6596/1703/1/012018. – EDN UKRVSQ.
  202. Prokopchina, S. New trends in measurement theory: Bayesian intelligent measurement and its application in the digital economy / S. Prokopchina // CEUR Workshop Proceedings : 8, Smolensk, 29 июня – 01 2020 года. – Smolensk, 2020. – P. 80-88. – EDN JKZGQH.
  203. Prokopchina, S. V. Technological platform for the "digitalization" of the regional economy / S. V. Prokopchina // Economics and management: problems, solutions. - 2020. – Vol. 2, No. 8. – pp. 11-15. – DOI 10.34684/ek.up.p.r.2020.08.02.002. – EDN QHVFWD.
  204. Prokopchina, S. V. Intelligent networks for the "digitalization" of urban economy within the framework of the "Smart City" concept / S. V. Prokopchina // Economics and management: problems, solutions. - 2020. – Vol. 3, No. 8(104). – pp. 21-27. – DOI 10.34684/ek.up.p.r.2020.08.03.003. – EDN LQPVYJ.
  205. Prokopchina, S. V. Methodological aspects of the concept of global measurements / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2020. – Vol. 1. – pp. 3-7. – EDN EEXWDV.
  206. Prokopchina, S. V. Global measurements: methodology, technology, applications / S. V. Prokopchina // Soft measurements and Computing. - 2020. – vol. 26, No. 1. – pp. 5-17. – EDN TGDZMC.
  207. Prokopchina S. V. Bayesian intelligent technologies in problems of modeling the distribution law under uncertainty monograph / S. V. Prokopchina. M. – Publishing House "SCIENTIFIC LIBRARY", 2020 – 292 p. – ISBN 978-5-907242-67-8.
  208. Prokopchina, S. V. Implementation of the DATA SCIENCE platform based on Bayesian intelligent technologies / S. V. Prokopchina // Soft measurements and Computing. - 2020. – vol. 27, No. 2. – pp. 5-11. – EDN KHWHOL.
  209. Comparative analysis of the use of information and communication technologies in the regions of the Central Federal District as a factor in the development of the digital economy / S. V. Prokopchina, A. B. Babaev, A. L. Yekaterinichev [et al.] // Soft measurements and Computing. - 2020. – Vol. 28, No. 3. – pp. 71-80. – EDN EXCCQO.
  210. Prokopchina, S. V. Implementation of the principles of the concepts of DATA SCIENCE, BIG DATA, DATA MINING by means of the INFOANALYTIC platform in application to digitalization tasks / S. V. Prokopchina // Soft measurements and Computing. - 2020. – vol. 30, No. 5. – pp. 21-31. – EDN VYDEBX.
  211. Prokopchina, S. V. Basic principles and technologies of building an environmental management network and ensuring environmental safety in the Smart City system based on intelligent workplaces "IRM-ecologist" / S. V. Prokopchina, A. A. Frolov // Soft measurements and Computing. - 2020. – vol. 30, No. 5. – pp. 47-58. – EDN AHRSUX.
  212. Prokopchina, S. V. Conceptual foundations of scales for measuring the properties of complex objects / S. V. Prokopchina // Soft measurements and Computing. - 2020. – vol. 32, No. 7. – pp. 5-12. – EDN JSQTPT.
  213. Prokopchina, S. V. A new type of neural networks: Bayesian measuring neural networks (BIN) based on the methodology of the regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. - 2020. – Vol. 35, No. 10. – pp. 17-24. – EDN OOZPXB.
  214. Prokopchina, S. V. Application of the regularizing Bayesian approach to determine the laws of distribution of bank ratings / S. V. Prokopchina, S. N. Mishchenko // Soft measurements and Computing. - 2020. – vol. 36, No. 11. – pp. 48-54. – DOI 10.36871/2618-9976.2020.11.004. – EDN GUVMRX.
  215. Prokopchina, S. V. Methodological foundations of knowledge metrology for measurement intellectualization / S. V. Prokopchina // Soft measurements and Computing. – 2020. – vol. 37, No. 12. – pp. 5-17. – DOI 10.36871/2618-9976.2020.12.001. – EDN WKWTPW.
  216. Prokopchina, S. V., & Mishchenko, S. (2020). Bayesian Intelligent Technologies for Managing Complex Production Systems. https://doi.org/10.1109/scm50615.2020.9198794
  217. Prokopchina, S. V. (2020). Methodological Aspects of the Concept of Global Measurements. https://doi.org/10.1109/scm50615.2020.9198796
  218. Prokopchina, S. V. (2020b). Methodological foundations of scaling in modern Measurement Theory. Classification of measurement scales and their application under uncertainty based on Bayesian Intelligent Technologies. Journal of Physics. Conference Series, 1703(1), 012003. https://doi.org/10.1088/1742-6596/1703/1/012003
  219. Prokopchina, S. V. (2020c). Methods for implementing the concept of “Smart City” based on Bayesian Intelligent Technologies. Journal of Physics. Conference Series, 1703(1), 012018. https://doi.org/10.1088/1742-6596/1703/1/012018
  220. Preface. (2020b). Journal of Physics. Conference Series, 1703(1), 011001. https://doi.org/10.1088/1742-6596/1703/1/011001
  221. Prokopchina, S. V. The Convolutional Approach for the Integration of Methods of Artificial Intelligence (AI) and Measurement Science (MS), Based on Bayesian Intelligent Technologies. The Concept of Bayesian Measurement Network. The Concept of IIoT — Intelligent Industrial IoT / S. V. Prokopchina // Proceedings of 2021 24th International Conference on Soft Computing and Measurements, SCM 2021 : 24, St. Petersburg, May 26-28, 2021. – St. Petersburg, 2021. – P. 3-7. – DOI 10.1109/SCM52931.2021.9507129. – EDN AYQCQB.
  222. Prokopchina S. V. Modeling and management of digitalization processes in conditions of uncertainty Textbook. – M.: Publishing house "SCIENTIFIC LIBRARY", 2021. – 250 p. – ISBN 978-5-907497-06-1.
  223. Prokopchina S. V. Fundamentals of scaling theory in economics Textbook. – M.: Publishing house "SCIENTIFIC LIBRARY", 2021. – 272 p. – ISBN 978-5-907497-05-4.
  224. Prokopchina, S. V. A systematic approach in measurements. Methodology and technology of system measurements / S. V. Prokopchina // System Analysis in Economics 2020 : Proceedings of the VI International Scientific and Practical Conference-Biennale, Moscow, December 09-11, 2020 / Under the general editorship of G.B. Kleiner, S.E. Shchepetova. – Moscow: Nauka Publishing House, LLC, 2021. – pp. 392-397. – DOI 10.33278/SAE-2020.book1.392-397. – EDN LAAWLW.
  225. Prokopchina, S. Convolutional development of artificial intelligence methodologies and measurement science on the basis of regularizing Bayesian approach / S. Prokopchina // CEUR Workshop Proceedings : 10, Kolomna, 17–20 мая 2021 года. – Kolomna, 2021. – P. 96-110. – EDN TDPENH.
  226. Prokopchina, S. V. Convolutional approach to the integration of artificial intelligence methods and measurement theory based on Bayesian intelligent technologies. The concept of a Bayesian measuring neural network. The concept of IIoT — intelligent IIoT / S. V. Prokopchina // International Conference on Soft Computing and Measurements. – 2021. – Vol. 1. – pp. 3-8. – EDN VGQQMC.
  227. Prokopchina, S. V. Intellectual measurements as a promising path to integration and joint development of artificial intelligence methodology and measurement theory / S. V. Prokopchina // Soft measurements and Computing. – 2021. – vol. 38, No. 1. – pp. 5-17. – DOI 10.36871/2618-9976.2021.01.001. – EDN DKTOHM.
  228. Byvshev, V. A. Investigation of the discriminatory ability of financial coefficients ROA and ROE to identify problem banks (Russian experience) / V. A. Exev, S. V. Prokopchina, S. N. Mishchenko // Soft measurements and Computing. – 2021. – vol. 38, No. 1. – pp. 60-65. – DOI 10.36871/2618-9976.2021.01.004. – EDN YGOEQA.
  229. Prokopchina, S. V. Application of Bayesian intelligent technologies and intelligent Idiot (Idiot) in the management of cyberphysical systems under conditions of uncertainty / S. V. Prokopchina // Soft measurements and Computing. – 2021. – vol. 42, No. 5. – pp. 38-54. – DOI 10.36871/2618-9976.2021.05.004. – EDN UNUSUI.
  230. On the results of the first IFSA Winter International Conference "Automation, Robotics and Communications for Industry 4.0" (ARCI' 2021) and the discussion panel "Sensors and measurements for Industry 4.0: evolution or revolution?" / S. Y. Yurish, S. V. Prokopchina, K. V. Sapozhnikova, R. E. Taimanov // Soft measurements and Computing. – 2021. – vol. 42, No. 5. – pp. 5-11. – DOI 10.36871/2618-9976.2021.05.001. – EDN HRPPGX.
  231. Prokopchina, S. V. Soft sensors based on Bayesian intelligent technologies / S. V. Prokopchina // Soft measurements and Computing. - 2021. – Vol. 49, No. 12. – pp. 42-49. – DOI 10.36871/2618-9976.2021.12.003. – EDN GHPIRN.
  232. Taymanov, R., Sapozhnikova, K., & Prokopchina, S. V. (2021). What is immeasurable make measurable with artificial intelligence (measurements & artificial intelligence). Measurement. Sensors, 18, 100316. https://doi.org/10.1016/j.measen.2021.100316
  233. Prokopchina, S. V. (2021b). The Convolutional Approach for the Integration of Methods of Artificial Intelligence (AI) and Measurement Science (MS), Based on Bayesian Intelligent Technologies. The Concept of Bayesian Measurement Network. The Concept of IIIoT — Intelligent Industrial IoT. https://doi.org/10.1109/scm52931.2021.9507129
  234. Prokopchina, S. V. Intelligent Sensor Networks in Industry 5.0. Generalized Concept of Creating Digital Platforms for Managing Complex Systems Based on a Regularizing Bayesian Approach / S. V. Prokopchina // Proceedings of 2022 25th International Conference on Soft Computing and Measurements, SCM 2022 : 25, St. Petersburg, May 25-27, 2022. – St. Petersburg, 2022. – P. 3-5. – DOI 10.1109/SCM55405.2022.9794889. – EDN KPCONM.
  235. Prokopchina, S. V. Intelligent sensor networks in Industry 5.0. Generalized concept of creating digital platforms for managing complex systems based on a regularizing Bayesian approach / S. V. Prokopchina // International Conference on Soft Computing and Measurements. - 2022. – Vol. 1. – pp. 3-10. – EDN QSDJGW.
  236. Prokopchina, S. V. Methods and technologies of Bayesian intelligent measurements for human resource management in industry 4.0 / S. V. Prokopchina, E. S. Chernikova // Soft measurements and Computing. – 2022. – Vol. 50, No. 1. – pp. 32-37. – DOI 10.36871/2618-9976.2022.01.004. – EDN YAJERE.
  237. Prokopchina, S. V. Intelligent sensor networks for monitoring and control of complex systems in conditions of uncertainty / S. V. Prokopchina // Soft measurements and Computing. – 2022. – Vol. 50, No. 1. – pp. 5-11. – DOI 10.36871/2618-9976.2022.01.001. – EDN FTNWSA.
  238. Prokopchina, S. V. Measurement of indices based on Bayesian intelligent technologies / S. V. Prokopchina // Soft measurements and Computing. – 2022. – vol. 52, No. 3. – pp. 11-27. – DOI 10.36871/2618-9976.2022.03.002. – EDN UOOFDK.
  239. Berezin, A. S. Bayesian intellectual measurements of indices and indicators of regional provision of cultural objects / A. S. Berezin, R. A. Zhukov, S. V. Prokopchina // Soft measurements and Computing. – 2022. – Vol. 53, No. 4. – pp. 5-15. – DOI 10.36871/2618-9976.2022.04.001. – EDN JRIBJB.
  240. Prokopchina, S. V. Intelligent sensor networks in Industry 5.0. Generalized concept of creating digital platforms for managing complex systems based on a regularizing Bayesian approach (report at the International conference on Soft Computing and Measurements SCM-2022) / S. V. Prokopchina // Soft measurements and Computing. – 2022. – Vol. 54, No. 5. – pp. 27-39. – DOI 10.36871/2618-9976.2022.05.003. – EDN ITZKRO.
  241. Application of the Bayesian Mathematical Statistics Library in the Infointegrator software package / R. A. Zhukov, S. V. Prokopchina, I. A. Giniatov, E. M. Nikolina // Soft measurements and Computing. – 2022. – Vol. 54, No. 5. – pp. 99-108. – DOI 10.36871/2618-9976.2022.05.008. – EDN HPGBEA.
  242. Prokopchina, S. V. Educational technological platform for training specialists as an example of artificial intelligence with explanations in the field of digitalization of the regional economy / S. V. Prokopchina // Soft measurements and Computing. - 2022. – Vol. 56, No. 7-2. – pp. 37-52. – DOI 10.36871/2618-9976.2022.07-2.004. – EDN KHUYYS.
  243. Prokopchina, S. V. DATA SCIENCE: principles and methodology of implementation in conditions of uncertainty / S. V. Prokopchina // Soft measurements and Computing. – 2022. – vol. 56, No. 7-2. – pp. 5-19. – DOI 10.36871/2618-9976.2022.07-2.001. – EDN VUJPAM.
  244. Prokopchina, S. V. Methods of Bayesian mathematical statistics in training a convolutional neural network based on a regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. – 2022. – Vol. 58, No. 9. – pp. 32-46. – DOI 10.36871/2618-9976.2022.09.003. – EDN RHRJNU.
  245. Prokopchina, S. V. Intellectual measurements in the era of digitalization: new opportunities and use experience / S. V. Prokopchina // Soft measurements and Computing. – 2022. – Vol. 60, No. 11-1. – pp. 5-12. – DOI 10.36871/2618-9976.2022.11.001. – EDN LRNYKH.
  246. Kotlyar, E. A. Intelligent software package for monitoring and management of hot water supply (DHW) based on a regularizing Bayesian approach / E. A. Kotlyar, S. V. Prokopchina // Soft measurements and Computing. – 2022. – vol. 61, No. 12. – pp. 5-18. – DOI 10.36871/2618-9976.2022.12.001. – EDN TUIPBQ.
  247. Zaslavskaya, V. L. Intelligent processing of big data in small business tasks based on Bayesian intelligent technologies / V. L. Zaslavskaya, R. K. Zaslavsky, S. V. Prokopchina // Soft measurements and Computing. – 2022. – vol. 61, No. 12. – pp. 65-74. – DOI 10.36871/2618-9976.2022.12.005. – EDN SVLFMA.
  248. Prokopchina, S. V. (2022). Intelligent Sensor Networks in Industry 5.0. Generalized Concept of Creating Digital Platforms for Managing Complex Systems Based on a Regularizing Bayesian Approach. https://doi.org/10.1109/scm55405.2022.9794889
  249. Prokopchina, S. V. (2023). Application of the Methodology and Tools of Bayesian Intelligent Technologies and Intelligent IIoT in the Management of Cyber-Physical Systems under Conditions of Uncertainty. In Lecture notes in networks and systems (pp. 575–588). https://doi.org/10.1007/978-3-031-20875-1_54
  250. Prokopchina, S. V. (2023b). Methodological Foundations of Linguistic Measurements of Non-numerical Characteristics of Complex Objects. https://doi.org/10.1109/scm58628.2023.10159098
  251. Bormotov, I.V., Prokopchina, S.V., Zhukov, R.A. (2023). Methodology of Bayesian Intellectual Measurements for Information Systems and its Application to the Study of the Value System of Russian Youth. https://doi.org/10.1109/scm58628.2023.10159081
  252. Prokopchina, S. V. Methodological Foundations of Linguistic Measurements of Non-numerical Characteristics of Complex Objects / S. V. Prokopchina // XXVI International Conference on Soft Computing and Measurements : Proceedings of 2023 XXVI International Conference on Soft Computing and Measurements (SCM), St. Petersburg, Russia, May 24-26, 2023. – St. Petersburg, Russia: IEEE, 2023. – P. 3-6. – EDN ZTBALI.
  253. Bormotov, I. V. Methodology of Bayesian Intellectual Measurements for Information Systems and its Application to the Study of the Value System of Russian Youth / I. V. Bormotov, S. V. Prokopchina, R. A. Zhukov // XXVI International Conference on Soft Computing and Measurements : Proceedings of 2023 XXVI International Conference on Soft Computing and Measurements (SCM), St. Petersburg, Russia, May 24-26, 2023. – St. Petersburg, Russia: IEEE, 2023. – P. 7-10. – EDN SVAJFU.
  254. Analysis of the tonality of text in social networks / A. A. Zhurina, S. V. Prokopchina, P. E. Ryabov, E. Yu. Shchetinin // Nonlinear world. – 2023. – Vol. 21, No. 4. – pp. 55-68. – DOI 10.18127/j20700970-202304-07. – EDN ZEQQRO
  255. Prokopchina, S. V. Methodological foundations of linguistic measurements of non-numerical characteristics of complex objects / S. V. Prokopchina // International Conference on Soft Computing and Measurements. – 2023. – Vol. 1. – pp. 3-5. – EDN FPDCQC.
  256. Bormotov, I. V. Methodology of Bayesian intellectual measurements for information systems and its application to the study of the value world of Russian youth / I. V. Bormotov, R. A. Zhukov, S. V. Prokopchina // International Conference on Soft Computing and Measurements. – 2023. – Vol. 1. – pp. 6-9. – EDN QOBJWD.
  257. Prokopchina, S. V. Methodological foundations of linguistic measurements of non-numerical characteristics of complex objects / S. V. Prokopchina // Soft measurements and Computing. – 2023. – vol. 66, No. 5. – pp. 5-21. – DOI 10.36871/2618-9976.2023.05.001. – EDN WXPDJK.
  258. Zhukov, R. A. Identification of the type of distribution on the example of some indicators of the value world of Russian youth / R. A. Zhukov, S. V. Prokopchina // Soft measurements and Computing. – 2023. – vol. 68, No. 7-1. – pp. 42-50. – DOI 10.36871/2618-9976.2023.07.004. – EDN MZDKTN.
  259. Prokopchina, S. V. Methodological foundations for the creation of regularizing methods of artificial intelligence / S. V. Prokopchina // Soft measurements and Computing. – 2023. – vol. 68, No. 7-1. – pp. 5-23. – DOI 10.36871/2618-9976.2023.07.001. – EDN JCXBXJ.
  260. Prokopchina, S. V. Determination of analytical dependencies for variances of sample coefficients of asymmetry and kurtosis of typical approximating distributions / S. V. Prokopchina // Soft measurements and Computing. – 2023. – vol. 68, No. 7-2. – pp. 14-22. – DOI 10.36871/2618-9976.2023.07-2.002. – EDN BKUOPK.
  261. Prokopchina, S. V. On the issue of determining the probability density of typical distributions based on experimental data / S. V. Prokopchina // Soft measurements and Computing. – 2023. – vol. 68, No. 7-2. – pp. 5-13. – DOI 10.36871/2618-9976.2023.07-2.001. – EDN UFARTI.
  262. Prokopchina, S. V. Project management in conditions of uncertainty based on the regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. – 2023. – vol. 69, No. 8. – pp. 50-68. – DOI 10.36871/2618-9976.2023.08.004. – EDN UDUYVX.
  263. Prokopchina, S. V. Methodology for creating "trust-based" artificial intelligence in systems based on the regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. – 2023. – vol. 69, No. 8. – pp. 5-21. – DOI 10.36871/2618-9976.2023.08.001. – EDN AEIIWY.
  264. The forecast of some indicators of the value world of Russian youth based on Bayesian intellectual technologies / R. A. Zhukov, S. V. Prokopchina, I. V. Bormotov [et al.] // Soft measurements and Computing. – 2023. – Vol. 70, No. 9. – pp. 47-55. – DOI 10.36871/2618-9976.2023.09.005. – EDN JOSSHG.
  265. Prokopchina, S. V. Measuring artificial intelligence: methodological foundations, principles of creation and information technologies based on the regularizing Bayesian approach / S. V. Prokopchina // Soft measurements and Computing. – 2023. – vol. 71, No. 10-2. – pp. 28-59. – DOI 10.36871/2618-9976.2023.10-2.003. – EDN SWCAIP.
  266. Zaslavskaya, V. L. Measuring employee motivation in small business personnel management based on Bayesian intelligent technologies / V. L. Zaslavskaya, S. V. Prokopchina, E. S. Chernikova // Soft measurements and Computing. – 2023. – vol. 72, No. 11. – pp. 33-50. – DOI 10.36871/2618-9976.2023.11.004. – EDN GOUAYM.
  267. A model of the value world of Russian youth based on Bayesian intellectual measurements / R. A. Zhukov, S. V. Prokopchina, I. V. Bormotov [et al.] // MIR (Modernization. Innovation. Development). – 2024. – Vol. 15, No. 1. – pp. 96-114. – DOY 10.18184/2079-4665.2024.15.1.96-114. – EDN WANAAK.
  268. Modeling of migration processes in the regions of the Central Federal District: evaluation of effectiveness / R. A. Zhukov, S. V. Prokopchina, N. O. Kozlova [et al.] // Economics and Management: problems, solutions. - 2024. – Vol. 3, No. 3(144). – pp. 52-64. – DOI 10.36871/ek.up.p.r.2024.03.03.007. – EDN ZIATFS.
  269. Modeling of migration processes in the Tula region / R. A. Zhukov, S. V. Prokopchina, N. O. Kozlova [et al.] // Economics and management: problems, solutions. - 2024. – Vol. 6, No. 2(143). – pp. 80-87. – DOI 10.36871/ek.up.p.r.2024.02.06.010. – EDN VNORXK.
  270. Computer modeling of DDOS attacks on continuous monitoring systems / A. I. Gaivoronsky, A. A. Kochkarov, E. Yu. Shchetinin, S. V. Prokopchina // Nonlinear World. – 2024. – Vol. 22, No. 1. – pp. 40-46. – DOI 10.18127/j20700970-202401-05. – EDN IBNRPP.
  271. Rumyantsev, B. V. Algorithm for constructing the trajectory of unmanned aerial vehicles for monitoring the state of agricultural fields / B. V. Rumyantsev, S. V. Prokopchina, A. A. Kochkarov // Izvestiya SFU. Technical sciences. – 2024. – № 1(237). – Pp. 77-88. – DOI 10.18522/2311-3103-2024-1-77-88. – EDN VGSWYR.
  272. Certificate of state registration of the computer program No. 2024617544 Russian Federation. The Infoanalytic 2.0 software package : No. 2024615345 : application 10.03.2024 : publ. 03.04.2024 / R. A. Zhukov, S. V. Prokopchina. – EDN SNSKUW.
  273. математическая модель канала измерения механической нагрузки на изолятор / В. Ю. Непомнящий, В. М. Панарин, А. А. Маслова [и др.] // Моделирование, оптимизация и информационные технологии. – 2024. – Т. 12, № 2(45). – EDN EVGPFD.
  274. Подходы к прогнозированию изменения состояния обеспечивающих компонентов информационно-управляющей системы / Ю. С. Шевнина, П. Е. Рябов, С. В. Прокопчина, Р. А. Кочкаров // Моделирование, оптимизация и информационные технологии. – 2024. – Т. 12, № 2(45). – EDN HEMIUV.
  275. Прокопчина, С. В. Машинное обучение сверточной нейронной сети на основе регуляризирующего байесовского подхода / С. В. Прокопчина, П. Е. Рябов, Е. Ю. Щетинин // Нейрокомпьютеры: разработка, применение. – 2024. – Т. 26, № 3. – С. 36-44. – DOI 10.18127/j19998554-202403-04. – EDN JBDIBS.
  276. Prokopchina, S. V. Methodological Foundations of Linguistic Measurements of Non-numerical Characteristics of Complex Objects / S. V. Prokopchina // XXVI International Conference on Soft Computing and Measurements : Proceedings of 2023 XXVI International Conference on Soft Computing and Measurements (SCM), St. Petersburg, Russia, May 24-26, 2023. – St. Petersburg, Russia: IEEE, 2023. – P. 3-6. – EDN ZTBALI.
  277. Bormotov, I. V. Methodology of Bayesian Intellectual Measurements for Information Systems and its Application to the Study of the Value System of Russian Youth / I. V. Bormotov, S. V. Prokopchina, R. A. Zhukov // XXVI International Conference on Soft Computing and Measurements : Proceedings of 2023 XXVI International Conference on Soft Computing and Measurements (SCM), St. Petersburg, Russia, May 24-26, 2023. – St. Petersburg, Russia: IEEE, 2023. – P. 7-10. – EDN SVAJFU.
  278. Prokopchina, S. V. Methodological foundations of linguistic measurements of non-numerical characteristics of complex objects / S. V. Prokopchina // International Conference on Soft Computing and Measurements. – 2023. – Vol. 1. – pp. 3-5. – EDN FPDCQC.
  279. Bormotov, I. V. Methodology of Bayesian intellectual measurements for information systems and its application to the study of the value world of Russian youth / I. V. Bormotov, R. A. Zhukov, S. V. Prokopchina // International Conference on Soft Computing and Measurements. – 2023. – Vol. 1. – pp. 6-9. – EDN QOBJWD.
  280. Прогнозирование миграции в Тульской области с учетом влияющих факторов до 2028 г / Р. А. Жуков, С. В. Прокопчина, Н. О. Козлова [и др.] // Мягкие измерения и вычисления. – 2024. – Т. 79, № 6. – С. 31-37. – DOI 10.36871/2618-9976.2024.06.003. – EDN KIPHYJ.
  281. Некоторые вопросы измерений и вычислений при управлении сложными системами / С. В. Прокопчина, Р. А. Жуков, М. А. Плинская, М. А. Желуницина // Международная конференция по мягким вычислениям и измерениям. – 2024. – Т. 1. – С. 44-46. – EDN AELQFR.
  282. Прокопчина, С. В. Новое направление в искусственном интеллекте: измерительный искусственный интеллект / С. В. Прокопчина // Международная конференция по мягким вычислениям и измерениям. – 2024. – Т. 1. – С. 3-6. – EDN RTHBVL.
  283. Модель фазовых волоконно-оптических сенсоров / Е. И. Минаков, А. С. Гублин, Е. Ю. Щетинин, С. В. Прокопчина // Динамика сложных систем — XXI век. – 2024. – Т. 18, № 2. – С. 59-64. – DOI 10.18127/j19997493-202402-05. – EDN DNOCIV.
  284. Моделирование функциональных связей региональных экономических систем по малым выборкам на основе байесовских интеллектуальных измерений / Р. А. Жуков, С. В. Прокопчина, М. А. Плинская, М. А. Желуницина // Journal of Applied Economic Research. – 2024. – Т. 23, № 3. – С. 721-750. – DOI 10.15826/vestnik.2024.23.3.029. – EDN TSKURG.
Прокопчина С.В.
Прокопчина С.В.
Прокопчина С.В.
0000-0001-5500-2781
Прокопчина С.В.
57219551565
Прокопчина С.В.
ABF-9676-2020
elibrary
SPIN-код: 7378-0087, AuthorID: 126828
E-mail: svprokopchina@mail.ru