Труды КНЦ (Технические науки вып. 3/2024(15))
22. Gautier I. et al. Atlas: Few-shot Learning with Retrieval Augmented Language Models // Journal o f Machine Learning Research. 2023. vol. 24. pp. 1-43. [электронный ресурс]. URL: https://jmlr.org/ papers/volume24/23-0037/23-0037.pdf (дата обращения: 11.10.2024). 23. Халиуллина Д. Н., Быстров В. В. Концептуальные аспекты исследования жизнеспособности региональных социально-экономических систем // Human Progress. 2023. Т. 9, № 5. С. 10. doi: 10.34709/IM.195.10.EDN RARLIY. 24. Rehak D., Senovsky P., Slivkova S. Resilience of Critical Infrastructure Elements and Its Main Factors // Systems. 2018. №6. 21. doi:10.3390/systems6020021. 25. Сушков В. В. Развитие функциональности в технических и бизнес-системах. TRIZ Developers Summit 2020 August 17-21, 2020. Minsk, Belarus. С. 1-8 [Электронный ресурс]. URL: https://r1.nubex.ru/ s828-c8b/f3244_06/Souchkov-TDS-2020-Functionality.pdf (дата обращения: 11.10.2024). References 1. Sheluhin O. I., Sharikov A. Yu. Simulation o f the behavior o f a computer system using artificial neural networks // T-Comm 2021. Vol. 15, No. 5, pp. 29-37. doi:10.36724/2072-8735-2021-15-5-29-37. (In Russ.). 2. Kostromin R. O., Feoktistov A. G. Servis podgotovki i zapuska imitacionnyh modelej funkcionirovaniya infrastrukturnyh ob"ektov v raspredelennoj vychislitel'noj srede [Service for the preparation and launch o f simulation models o f the functioning o f infrastructure facilities in a distributed computing environment] // Certificate o f registration o f a computer program RU 2021662946, 10.08.2021. Bid № 2021662355 from 10.08.2021. (In Russ.). 3. Volegov I. S., Zamyatina E. B. The integration o f simulation model components into triad.net using ontological approach // 0STIS-2012 2012. No. 2. p. 229-236. (In Russ.). 4. Prat S. et al. An Automated Generation Approach of Simulation Models for Checking Control/Monitoring System. IFAC-PapersOnLine, 2017, Vol. 50, Iss. 1, pp. 6202-6207. doi: 10.1016/j.ifacol.2017.08.1014. 5. Giannakis G. et al. Simulation model generation combining IFC and CityGML data, 2016. Available at: https://www.researchgate.net/publication/307964150_Simulation_model_generation_combining_IFC_ and_CityGML_data (accessed 11.10.2024). 6. Pourbafrani M., van Zelst S. J., van der Aalst W.M.P. (2020). Supporting Automatic System Dynamics Model Generation for Simulation in the Context o f Process Mining. Lecture Notes in Business Information Processing, 2020, Vol. 389, pp. 249-263. doi:10.1007/978-3-030-53337-3_19. 7. Huang Y., Verbraeck A., Seck M. Graph transformation based simulation model generation. Journal o f Simulation, 2016, Vol. 10, No.4, pp. 283-309. https://doi.org/10.1057/jos.2015.21. 8. Putilov V. A., Gorokhov A. V., Bystrov V. V. Sintez imitacionnyh modelej slozhnyh sistem na osnove ekspertnyh znanij [Synthesis o f simulation models o f complex systems based on expert knowledge] // Informacionnye tekhnologii i vychislitel'nye sistemy [Information technology and computing systems] 2008. No. 2, pp. 27-35. (In Russ .). 9. Kudinova О. V., Khaliullina D. N. Sozdanie shablonov imitacionnoj modeli prognozirovaniya trudovyh resursov s pomoshch'yu ontologicheskih opisanij predmetnoj oblasti [Creating templates o f simulation model for labour force balace prediction based on the ontological descriptions o f subject area] // Trudy Kol'skogo nauchnogo centra RAN. [Transactions o f the Kola Science Centre. Information technologies] 2013. Vol. 5, No. 18, pp. 208-216. (In Russ.). 10. Masloboev A. V., Oleynik A. G., Shishaev M. G. Informacionnaya tekhnologiya distancionnogo formirovaniya i upravleniya modelyami sistemnoj dinamiki [Remote synthesis and control information technology of system- dynamic models] // Scientific and Technical Journal o f Information Technologies, Mechanics and Optics, 2015. Vol.15, No. 4, pp. 748-755. doi:10.17586/2226-1494-2015-15-4-748-755. (In Russ.). 11. Karminskaya T. D., et al. Ispol'zovanie klasternogo analiza i nejronnyh setej v zadache upravleniya regional'nym rynkom truda [Human resources forecasting within economic activities with the use o f cluster analysis and neural networks] // Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki [Reports o f Tomsk State University o f Control Systems and Radioelectronics] 2013. No. 4(30), pp. 205-209. (In Russ.). Труды Кольского научного центра РАН. Серия: Технические науки. 2024. Т. 15, № 3. С. 27-40. Transactions of the Kola Science Centre of RAS. Series: Engineering Sciences. 2024. Vol. 15, No. 3. P. 27-40. © Быстров В. В., Халиуллина Д. Н., Шишаев М. Г., 2024 39
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