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Publications in Math-Net.Ru |
Citations |
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2025 |
| 1. |
V. A. Sudakov, Yu. P. Titov, P. M. Ivanova, T. V. Sivakova, “Optimization of following model parameters in a computing cluster by asynchronous modification of the ant colony method”, Keldysh Institute preprints, 2025, 037, 18 pp.  |
| 2. |
D. V. Faevsky, V. A. Vikulov, V. A. Sudakov, “Analysis of brain activity based on EEG and fNIRS data using explainable artificial intelligence”, Keldysh Institute preprints, 2025, 033, 23 pp. |
| 3. |
M. H. Nguyen, V. A. Sudakov, “Improving the MobileNetV2 model for forest fire detection and analysis from satellite images”, Keldysh Institute preprints, 2025, 004, 15 pp. |
| 4. |
I. S. Ved'manov, T. V. Sivakova, V. A. Sudakov, “Intelligent technologies for generating recommendations based on natural language queries”, Keldysh Institute preprints, 2025, 003, 12 pp. |
| 5. |
V. A. Sudakov, Yu. P. Titov, “Application of the ant colony method in optimization problems of the aviation industry”, Keldysh Institute preprints, 2025, 001, 14 pp. |
| 6. |
B. N. Chetverushkin, V. A. Sudakov, Yu. P. Titov, “Modeling of high-dimensional systems based on graph condensation”, Mat. Model., 37:3 (2025), 59–74 |
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2024 |
| 7. |
B. N. Chetverushkin, V. A. Sudakov, Yu. P. Titov, “Graph condensation for large factor models”, Dokl. RAN. Math. Inf. Proc. Upr., 517 (2024), 66–73  ; Dokl. Math., 109:3 (2024), 246–251 |
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| 8. |
V. A. Sudakov, A. D. Shabliy, “Optimizing after-sales software maintenance in plugin architecture”, Keldysh Institute preprints, 2024, 069, 17 pp. |
| 9. |
Yu. S. Chaynikov, V. A. Sudakov, “On the estimation of integral risk of predictor Lipschitz functions in machine learning models”, Keldysh Institute preprints, 2024, 053, 12 pp. |
| 10. |
D. N. Shmyglev, V. A. Sudakov, “Reinforcement learning model for enterprise fleet optimization”, Keldysh Institute preprints, 2024, 039, 13 pp. |
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| 11. |
R. S. Ekhlakov, T. V. Sivakova, V. A. Sudakov, “Multicriteria assessment of transport network security”, Keldysh Institute preprints, 2024, 038, 16 pp. |
| 12. |
V. A. Sudakov, A. D. Shabliy, “Resolution of cyclic dependencies of the graphical model interconnection requirements for software”, Keldysh Institute preprints, 2024, 031, 13 pp. |
| 13. |
D. N. Barotov, V. A. Sudakov, “On inequalities between convex, concave, and multilinear continuations of Boolean functions”, Keldysh Institute preprints, 2024, 030, 13 pp. |
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| 14. |
T. V. Sivakova, V. A. Sudakov, V. S. Shimko, “Research of methods for solving mixed integer linear programming problems”, Keldysh Institute preprints, 2024, 024, 18 pp. |
4
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| 15. |
A. D. Avramenko, V. A. Sudakov, “Creating synthetic graphs for the Traveling Salesman Problem”, Keldysh Institute preprints, 2024, 008, 16 pp. |
| 16. |
N. B. Barchev, V. A. Sudakov, “Research on methods for modifying membership functions of fuzzy sets based on pattern”, Keldysh Institute preprints, 2024, 006, 19 pp. |
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| 17. |
V. A. Sudakov, Yu. P. Titov, “Investigation of the parametric graph model in the ant colony method”, Mat. Model., 36:6 (2024), 21–37 |
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2023 |
| 18. |
V. A. Sudakov, Yu. P. Titov, T. V. Sivakova, P. M. Ivanova, “Application of the ant colony method to search for rational values of the parameters of a technical system”, Keldysh Institute preprints, 2023, 038, 18 pp. |
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| 19. |
A. D. Minakov, V. A. Sudakov, “Methods for accelerating controlled online experiments”, Keldysh Institute preprints, 2023, 036, 16 pp. |
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2022 |
| 20. |
V. A. Sudakov, T. V. Sivakova, “Unified program for predicting the spread of viral infections”, Keldysh Institute preprints, 2022, 074, 12 pp. |
| 21. |
V. A. Sudakov, M. A. Timofeev, “Air traffic forecasting using statistical analysis and machine learning methods”, Keldysh Institute preprints, 2022, 070, 14 pp. |
| 22. |
N. D. Badanina, A. A. Zinchenko, V. A. Sudakov, “Ranking of objects based on fuzzy clustering”, Keldysh Institute preprints, 2022, 068, 12 pp. |
| 23. |
I. A. Belozerov, V. A. Sudakov, “Investigation of machine learning models for medical image segmentation”, Keldysh Institute preprints, 2022, 037, 15 pp. |
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| 24. |
I. A. Belozerov, V. A. Sudakov, “Reinforcement machine learning for solving mathematical programming problems”, Keldysh Institute preprints, 2022, 036, 14 pp. |
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| 25. |
R. S. Ekhlakov, V. A. Sudakov, “Forecasting the cost of quotes using LSTM & GRU networks”, Keldysh Institute preprints, 2022, 017, 13 pp. |
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| 26. |
V. A. Sudakov, I. A. Belozerov, E. S. Prudkova, “Reinforcement machine learning model for sports infrastructure development planning”, Mat. Model., 34:12 (2022), 103–115 ; Math. Models Comput. Simul., 15:4 (2023), 608–614 |
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| 27. |
V. A. Sudakov, Yu. P. Titov, “Pandemic forecasting by machine learning in a decision support problem”, Mat. Model., 34:11 (2022), 107–122 ; Math. Models Comput. Simul., 15:3 (2023), 520–528 |
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2021 |
| 28. |
V. A. Sudakov, T. V. Sivakova, V. I. Baluta, A. V. Milaev, E. A. Davydkina, “Unified modeling of the spread of the virus in urban areas”, Keldysh Institute preprints, 2021, 101, 20 pp. |
| 29. |
R. L. Ponomarev, V. A. Sudakov, T. V. Sivakova, A. R. Ententeev, V. I. Eskin, “Development of a model for the spread of COVID-19 in urban agglomerations”, Keldysh Institute preprints, 2021, 074, 20 pp. |
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| 30. |
A. E. Kurennykh, V. A. Sudakov, “Combined recommender algorithms for enterprises”, Keldysh Institute preprints, 2021, 060, 12 pp. |
| 31. |
N. D. Badanina, V. A. Sudakov, “Machine learning models for bank reviews classification”, Keldysh Institute preprints, 2021, 050, 14 pp. |
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| 32. |
E. A. Bakhvalova, V. A. Sudakov, “Research of consensus algorithms for blockchain platforms”, Keldysh Institute preprints, 2021, 026, 16 pp. |
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| 33. |
R. L. Ponomarev, V. A. Sudakov, “Development of a simulation model for aircraft maintenance based on the Internet of Things”, Keldysh Institute preprints, 2021, 017, 19 pp. |
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2020 |
| 34. |
T. V. Sivakova, V. A. Sudakov, Yu. P. Titov, “Application of fuzzy decision support methods for recruiting”, Keldysh Institute preprints, 2020, 095, 15 pp. |
| 35. |
K. M. Belova, V. A. Sudakov, “Effectiveness of methods for assessing the text relevance”, Keldysh Institute preprints, 2020, 068, 16 pp. |
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| 36. |
I. P. Bogdanov, V. A. Sudakov, N. B. Toporov, “Loading optimization of an ordered set of aircrafts”, Mat. Model., 32:4 (2020), 43–56 ; Math. Models Comput. Simul., 12:6 (2020), 950–957 |
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| 37. |
B. N. Chetverushkin, V. A. Sudakov, “Factor modeling for innovative-active enterprises”, Mat. Model., 32:3 (2020), 115–126 ; Math. Models Comput. Simul., 12:6 (2020), 907–914 |
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2019 |
| 38. |
A. I. Posadsky, T. V. Sivakova, V. A. Sudakov, “Aggregation of fuzzy expert judgments”, Keldysh Institute preprints, 2019, 101, 12 pp. |
3
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| 39. |
A. V. Melnichuk, T. V. Sivakova, V. A. Sudakov, “Solving optimization problems using multi-agent models”, Keldysh Institute preprints, 2019, 100, 16 pp. |
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2018 |
| 40. |
V. P. Osipov, T. V. Sivakova, V. A. Sudakov, Yu. I. Nechaev, “Intelligent core decision support system”, Keldysh Institute preprints, 2018, 205, 23 pp. |
| 41. |
A. E. Kurennykh, V. P. Osipov, A. I. Posadsky, V. A. Sudakov, “Enlargement of paired-comparison matrix’s consistency index in decision support systems”, Keldysh Institute preprints, 2018, 196, 16 pp. |
| 42. |
V. A. Bakhtin, I. P. Bogdanov, V. P. Osipov, Yu. G. Rykov, A. A. Smirnov, V. A. Sudakov, “Optimal scheduling of homogeneous products transportation”, Keldysh Institute preprints, 2018, 065, 26 pp. |
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2017 |
| 43. |
V. P. Osipov, V. A. Sudakov, “Multi-criteria decision analysis with fuzzy preference areas”, Keldysh Institute preprints, 2017, 006, 16 pp. |
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2015 |
| 44. |
V. P. Osipov, V. A. Sudakov, “Combined method of multicriteria decision support”, Keldysh Institute preprints, 2015, 030, 21 pp. |
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