Обзор трудов конференции IITI’24

Приводится краткое реферирование наиболее интересных докладов 8-й Международной научной конференции «Интеллектуальные информационные технологии в технике и на производстве» (IITI’24), организованной ФГБОУ ВО РГУПС, АО «НИИАС» и Харбинским политехническим университетом (Китай) при поддержке Российской ассоциации искусственного интеллекта, которая проходила в период с 1 по 7 ноября 2024 г. в Китае (гг. Шанхай и Харбин). Открытие конференции IITI’24 состоялось в г. Шанхай в рамках Международного форума по обмену опытом CIEP 2024 по приглашению Министерства трудовых ресурсов и социального обеспечения Китая, в котором приняли очное участие свыше 2000 ученых из более чем 120 стран.
Целью IITI’24 являлся обмен передовым опытом в области фундаментальных и прикладных исследований в сфере искусственного интеллекта, информационных технологий и автоматизации, а также развитие международных контактов. Особое внимание было уделено передовым интеллектуальным технологиям и их применению в различных областях промышленности, в том числе на железнодорожном транспорте.

1. Konstantinov, A. An explicit concept-based approach for incorporating expert rules into machine learning models / A. Konstantinov, L. Utkin // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 153–162. – ISBN 978-3-031-77688-5.

2. Synthesis and analysis of porous frame structures images using machine learning methods / A. Poltavskiy, E. Kolomenskaya, G. Beliavsky [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 389–401. – ISBN 978-3-031-77688-5.

3. Impact of Spectral and Meteorological Data Fusion on the Accuracy of Woody Plant Identification Using Deep Machine Learning Methods / A. Alexandrov, P. Dmitriev, A. Dmitrieva [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. – Cham : Springer International Publishing, 2024. In 2 vol. Vol. 1. – P. 207–216. – ISBN 978-3-031-77688-5.

4. Gurov, Y. Conditional variational autoencoders with fuzzy inference / Y. Gurov, D. Khilkov // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. – Cham : Springer International Publishing, 2024. In 2 vol. Vol. 2. – P. 91–103. – ISBN 978-3-031-77411-9.

5. Ponomarev, A. Advanced metrics for the detection problem on perspective transformed images / A. Ponomarev, A. Agafonov, A. Smirnov [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 420–430. – ISBN 978-3-031-77688-5.

6. Narendra, A. Leveraging single and multi-task reinforcement learning algorithms for autonomous Mobile Aloha Robot / A. Narendra, D. Makarov, A. Panov // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 443–453. – ISBN 978-3-031-77688-5.

7. Vyatkin, A. Algebraic Bayesian networks: refinement of the approximate generation of the knowledge pattern canonical representation / A. Vyatkin, M. Abramov // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 466–474. – ISBN 978-3-031-77688-5.

8. Ilicheva, V. V. Complexity estimate of logical specifications execution for transport processes prototyping / V. V. Ilicheva, A. N. Guda // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 3–11. – ISBN 978-3-031-77688-5.

9. Planning station operations based on actual station performance obtained “from the wheel” / S. Kovalev, A. Sukhanov, I. Olgeyzer, V. Ierusalimov // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 33–42. – ISBN 978-3-031-77688-5.

10. Safety control of the use of technical vision systems on hump humps / K. Kornienko, P. Borovlev, K. Maksimov [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 62–69. – ISBN 978-3-031-77688-5.

11. Intelligent approach to solving the problem control over railway cars in the marshalling yard / A. Shulzhenko, A. Sukhanov, M. Butakova, V. Ierusalimov // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 62–69. – ISBN 978-3-031-77688-5.

12. Bulavin, Yu. Leveraging deep reinforcement learning for reducing longitudinal train forces in railway systems / Yu. Bulavin, O. Ignatieva // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. In 2 vol. Vol. 1. – P. 118–130. – ISBN 978-3-031-77688-5.

13. Dorodnykh, N. Using state transition diagrams for automated knowledge base construction / N. Dorodnykh, A. Yurin // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 21–32. – ISBN 978-3-031-77688-5.

14. Gladkov, L. The development of a method for managing traffic flows based on an agent-based approach / L. Gladkov, G. Veselov, D. Elkin // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 108–117. – ISBN 978-3-031-77688-5.

15. Kucherov, S. Method for intellectualization of interaction between a technical system and a user in the natural language of a domain / S. Kucherov, Y. Rogozov, A. Sviridov, A. Borisov, Y. Lipko // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. – Cham : Springer International Publishing, 2024. In 2 vol. Vol. 1. – P. 43–51. – ISBN 978-3-031-77688-5.

16. Gribova, V. SMART standards for industry / V. Gribova, E. Shalfeeva // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 1. – Cham : Springer International Publishing, 2024. – P. 70–82. – ISBN 978-3-031-77688-5.

17. Zelichenok, I. Detection of botnets using artificial intelligence methods / I. Zelichenok, K. Zhernova, A. Chechulin, L. Vitkova // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 15–24. – ISBN 978-3-031-77411-9.

18. Mogilny, A. Framework for the development of anomaly detection and classification models for cyber-physical systems / A. Mogilny, E. Basan, A. Basan // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 57–68. – ISBN 978-3-031-77411-9.

19. Mutual information based ensemble anomaly detection strategy for cyber-physical systems / Z. Ahmad, A. Petrovski, I. Kotenko [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 69–78. – ISBN 978-3-031-77411-9.

20. Vulfin, A. System for detecting anomalies in information security logs / A. Vulfin, P. Lozhnikov, A. Sulavko [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 35–45. – ISBN 978-3-031-77411-9.

21. Kotenko, I. A statistical approach to evaluation and selection of wavelets for detecting computer attacks / I. Kotenko, I. Saenko, P. Bortniker // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 3–14. – ISBN 978-3-031-77411-9.

22. Zhou, D. FedDW: Leveraging dataset distillation for black-box watermarking in federated learning models / Dawei Zhou, Jialiang Peng // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 46–56. – ISBN 978-3-031-77411-9.

23. Petrovski, A. Insider threat detection within operational technologies using digital twins / A. Petrovski, I. Kotenko, M. Arifeen [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 25–34. – ISBN 978-3-031-77411-9.

24. Kobrinskii, B. Fuzzy situational control at the stages of the medical-and-technological process: problems and possible solutions / B. Kobrinskii // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 312–323. – ISBN 978-3-031-77688-5.

25. Formation of a dataset for assessing fine motor skills in handwriting after a stroke and an example of its application / E. Kostyuchenko, V. Ezhova, D. Koshechko, S. Fominykh // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 205–213. – ISBN 978-3-031-77411-9.

26. Predicting atrial fibrillation in patients with ischemic heart disease based on multilevel categorization / K. Shakhgeldyan, B. Geltser, N. Kuksin [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 225–235. – ISBN 978-3-031-77411-9.

27. Predicting atrial fibrillation in patients with ischemic heart disease based on multilevel categorization / K. Shakhgeldyan, V. Rubleb, N. Kuksin [et al.] // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 225–235. – ISBN 978-3-031-77411-9.

28. Chekalev, A. Community theme analyser : Predicting career guidance in online social networks / A. Chekalev, A. Khlobystova, M. Abramov // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 153–162. – ISBN 978-3-031-77411-9.

29. Classifier based on neural networks to determine the patient’s speech state / D. Novokhrestova, S. Tomilina, P. Laptev, E. Kostyuchenko // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. – Cham : Springer International Publishing, 2024. – P. 236–244. In 2 vol. Vol. 2. – ISBN 978-3-031-77411-9.

30. Eremeev, A. Research and development of a temporal model of branching time for the Intelligent systems of real-time / A. Eremeev, I. Kurilenko, N. Filinov // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 247–259. – ISBN 978-3-031-77411-9.

31. Probabilistic models for detection of causal relationships in data sequences / M. I. Zabezhailo, A. A. Grusho, N. A. Grusho, E. E. Timonina // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. In 2 vol. Vol. 2. – Cham : Springer International Publishing, 2024. – P. 271–279. – ISBN 978-3-031-77411-9.

32. Mikheyenkova, M. Causal relationships as a basis for diagnosis and decision making / M. Mikheyenkova // Intelligent Information Technologies for Industry (IITI’24) : Proceedings of the Eighth International Scientific Conference. – Cham : Springer International Publishing, 2024. In 2 vol. Vol. 2. – P. 260–270. – ISBN 978-3-031-77411-9.