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Publications in Math-Net.Ru |
Citations |
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2024 |
1. |
N. S. Abramov, V. V. Sattarova, V. P. Fralenko, M. V. Khachumov, “Gesture control of small unmanned aerial vehicle flight”, Program Systems: Theory and Applications, 15:2 (2024), 21–36 |
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2023 |
2. |
V. P. Fralenko, “Neural network methods for detecting fires in forests”, Artificial Intelligence and Decision Making, 2023, no. 1, 67–77 |
3. |
V. P. Fralenko, “Improving quality of video stream from the unmanned aerial vehicle technical vision system”, Program Systems: Theory and Applications, 14:2 (2023), 3–26 |
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2019 |
4. |
V. P. Fralenko, Yu. G. Emel'yanova, O. G. Shishkin, A. E. Liseitsev, “Intellectual support of processes of control and diagnostics of space subsystems”, Program Systems: Theory and Applications, 10:4 (2019), 25–75 |
5. |
N. V. Kiselnikova, E. A. Kuminskaya, A. V. Latyshev, V. P. Fralenko, M. V. Khachumov, “Tools for the analysis of the depressed state and personality traits
of a person”, Program Systems: Theory and Applications, 10:3 (2019), 129–159 |
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2018 |
6. |
N. S. Abramov, D. A. Makarov, A. A. Talalaev, V. P. Fralenko, “Modern methods for intelligent processing of Earth remote sensing data”, Program Systems: Theory and Applications, 9:4 (2018), 417–442 |
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7. |
Yu. G. Emel'yanova, V. P. Fralenko, “Methods of cognitive-graphical representation
of information for effective monitoring of complex technical systems”, Program Systems: Theory and Applications, 9:4 (2018), 117–158 |
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8. |
Yu. G. Emel'yanova, V. P. Fralenko, V. M. Khachumov, “Methods of complex estimation of cognitive graphic images”, Program Systems: Theory and Applications, 9:3 (2018), 49–63 |
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9. |
A. A. Talalaev, V. P. Fralenko, “Fault-tolerant system for organizing high-performance computing for solving data processing problems”, Program Systems: Theory and Applications, 9:1 (2018), 85–108 |
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2017 |
10. |
V. P. Fralenko, M. V. Khachumov, M. V. Shustova, “Allocation and cognitive visualization of transplanted mesenchymal stem cells in images of a magnetic resonance tomography”, Artificial Intelligence and Decision Making, 2017, no. 3, 10–20 |
11. |
N. S. Abramov, V. P. Fralenko, “Neural network data protection system for computer systems”, Program Systems: Theory and Applications, 8:4 (2017), 197–207 |
12. |
N. S. Abramov, A. A. Talalaev, V. P. Fralenko, V. M. Khachumov, O. G. Shishkin, “The high–performance neural network system for monitoring of state and behavior of spacecraft subsystems by telemetry data”, Program Systems: Theory and Applications, 8:3 (2017), 109–131 |
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2016 |
13. |
V. P. Fralenko, M. V. Khachumov, M. V. Shustova, “The tools for automatically finding and visualization of interest areas in the MRI data to support of medical researchers decision-making”, Artificial Intelligence and Decision Making, 2016, no. 4, 27–37 ; Scientific and Technical Information Processing, 44:6 (2017), 397–405 |
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14. |
N. S. Abramov, A. A. Talalaev, V. P. Fralenko, “Intelligent telemetry data analysis for diagnosing of the spacecraft hardware”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2016, no. 1, 64–75 |
15. |
V. P. Fralenko, “Universal graphical user interface for visual design of parallel and parallel-pipelined applications”, Program Systems: Theory and Applications, 7:3 (2016), 45–70 |
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16. |
A. Yu. Agronik, V. P. Fralenko, “Library of high-performance algorithms for processing of data from unmanned aerial vehicle vision system”, Program Systems: Theory and Applications, 7:2 (2016), 61–71 |
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2015 |
17. |
V. P. Fralenko, R. E. Suvorov, R. I. Ovcharenko, I. A. Tikhomirov, “Automatic image classification for content filtering”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, no. 3, 3–12 |
18. |
V. P. Fralenko, A. Yu. Agronik, “Tools, methods and algorithms for the efficient parallelization of computational loading in heterogeneous environments”, Program Systems: Theory and Applications, 6:3 (2015), 73–92 |
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19. |
A. A. Talalaev, V. P. Fralenko, V. M. Khachumov, “Review of standards and the conceptual design of tools for spacecraft monitoring, control and diagnostics”, Program Systems: Theory and Applications, 6:3 (2015), 21–43 |
20. |
N. S. Abramov, A. A. Ardentov, Yu. G. Emeljanova, A. A. Talalaev, V. P. Fralenko, O. G. Shishkin, “The architecture of the system for spacecraft state monitoring and forecasting”, Program Systems: Theory and Applications, 6:2 (2015), 85–99 |
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21. |
N. S. Abramov, V. P. Fralenko, “Computer systems security threats: classification, sources of origin and counteraction methods”, Program Systems: Theory and Applications, 6:2 (2015), 63–83 |
22. |
V. M. Khachumov, V. P. Fralenko, Chen Guo Xiang, Zhang Guo Liang, “Construction perspectives of the remote sensing data high-performance processing system”, Program Systems: Theory and Applications, 6:1 (2015), 121–133 |
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2014 |
23. |
V. F. Zadneprovskiy, V. P. Fralenko, M. V. Khachumov, “Intelligent technologies in the oilfield management”, Artificial Intelligence and Decision Making, 2014, no. 4, 59–67 ; Scientific and Technical Information Processing, 42:6 (2015), 448–454 |
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24. |
V. F. Zadneprovskiy, A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov, “Integrated development environment for high-performance medical and industrial purpose images processing”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2014, no. 1, 61–72 |
25. |
Vitaly Fralenko, “Methods of image texture analysis, Earth remote sensing data processing”, Program Systems: Theory and Applications, 5:4 (2014), 19–39 |
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26. |
V. P. Fralenko, “Localization of text fragments on mixed background: short scientific review”, Program Systems: Theory and Applications, 5:2 (2014), 33–45 |
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2012 |
27. |
N. S. Abramov, V. P. Fralenko, “Distance computation based on computer vision system and invariant moments method”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2012, no. 4, 32–39 |
28. |
I. P. Tishchenko, D. N. Stepanov, V. P. Fralenko, “The development of modeling system of unmanned aerial vehicle autonomous flight”, Program Systems: Theory and Applications, 3:3 (2012), 3–21 |
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29. |
G. Yu. Popov, A. A. Kondrat'ev, I. P. Tishchenko, V. P. Fralenko, “The elaboration of information system to support collaborative projects development”, Program Systems: Theory and Applications, 3:2 (2012), 3–22 |
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2011 |
30. |
A. A. Kondrat'ev, I. P. Tishchenko, V. P. Fralenko, “Development of a distributed system security for cloud computing”, Program Systems: Theory and Applications, 2:4 (2011), 61–70 |
1
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31. |
Yu. G. Emel'yanova, V. P. Fralenko, “Problems and prospects analysis for cloud computing network attacks detection and prevention intelligent system creation”, Program Systems: Theory and Applications, 2:4 (2011), 17–31 |
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32. |
J. G. Emelyanova, A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, “Neural network technology of detection network attacks on information resources”, Program Systems: Theory and Applications, 2:3 (2011), 3–15 |
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2010 |
33. |
V. P. Fralenko, “Spectrographic texture analysis for earth remote sensing data”, Artificial Intelligence and Decision Making, 2010, no. 2, 11–15 |
34. |
Yu. G. Emel'yanova, K. A. Konstantinov, S. V. Pogodin, A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov, “Monitoring system of spacecraft orientation angle-data and distance transmitters based on artificial neural networks”, Program Systems: Theory and Applications, 1:1 (2010), 45–59 |
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2009 |
35. |
A. O. Blinov, V. P. Fralenko, “Multidimensional approximation for modeling and optimization problems”, Avtomat. i Telemekh., 2009, no. 4, 98–109 ; Autom. Remote Control, 70:4 (2009), 652–662 |
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36. |
A. A. Talalaev, V. P. Fralenko, “Control and diagnosis of spacecraft position sensors”, Artificial Intelligence and Decision Making, 2009, no. 3, 49–52 |
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2008 |
37. |
A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov, “Analysis of the efficiency of applying artificial neuron networks for solving recognition, compression, and prediction problems”, Artificial Intelligence and Decision Making, 2008, no. 2, 24–33 ; Scientific and Technical Information Processing, 38:5 (2011), 313–321 |
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