Труды КНЦ. Технические науки. – 2026. - № 2

19. Zheng A., Kazari A. Designing features for machine learning / O'Reilly Media, Inc. 2018, April. 215 р. URL: https://www.oreilly.com/library/view/featureengineering-for/9781491953235 (accessed 05.07.2025). 20. KuhnM., Johnson K. Design and selection of features: a practical approach to predictive models // Kuhn & Johnson: [website]. 2020. URL: https://bookdown.org/max/FES (accessed 05.12.2025). 21. ADASYN: an adaptive approach to synthetic sampling for Unbalanced learning // He Haibo [et al.] // IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence). Hong Kong, 2008. Р. 1322-1328. doi:10.1109/IJCNN.2008.4633969 22. Restoring balance: principled under/oversampling of data for optimal classification / E. Loffredo [et al.] // arXiv:2405.09535v2 [cond-mat.dis-nn]. 2025, 31 Jan. URL: https://arxiv.org/pdf/2405.09535 (accessed 03.07.2025). 23. Optuna: A Next-generation Hyperparameter Optimization Framework / Takuya Akiba [et al.] // arXiv:1907.10902. URL: https://arxiv.org/abs/1907.10902 (accessed 03.07.2025). 24. Bergstra J., Bengio Y. Random Search for Hyper-Parameter Optimization // J. Machine Learning Res. 2012. No. 13. Р. 281-305. 25. AI for Automating Data Center Operations: Model Explainability in the Data Centre Context Using Shapley Additive Explanations (SHAP) / Y. Gebreyesus [et al.] // Electronics. 2024. Vоl. 13 (9). Р. 1628. https://doi.org/10.3390/electronics13091628 26. Lundberg S. M., Lee Su-In. A Unified Approach to Interpreting Model Predictions // arXiv:1705.07874v2 [cs.AI] . 2017, 25 Nov. URL: https://arxiv.org/pdf/1705.07874 (accessed 03.07.2025). References 1. GOST 10884-94 Stal' armaturnaya termomexanicheski uprochnennaya dlya zhelezobetonny'x konstrukcij [Thermomechanically reinforced reinforcing steel for reinforced concrete structures]. Moscow, Standartinform, 2009, 14 р. 2. Savyuk A. N., Derevyanchenko I. V. et al. Optimizaciya ximicheskogo sostava stali, texnologii prokatki i termoobrabotki dlya obespecheniya mexanicheskix svojstv prokata v uzkom diapazone znachenij [Optimization o f the chemical composition o f steel, rolling technology and heat treatment to ensure the mechanical properties 3. of rolled products in a narrow range of values]. Trudy ' 5-go kongressa prokatchikov [Proceedings of the 5th Congress of Distributors], Moscow, 2004, pp. 200-205. (In Russ.). 4. Takhautdinov R. S. Proizvodstvo termomexanicheski uprochnennoj armatury' na melkosortnom stane 250-1 Magnitogorskogo metallurgicheskogo kombinata [Production of thermomechanically reinforced reinforcement at the small-grade mill 250-1 of the Magnitogorsk Iron and Steel Works]. Chernaya metallurgiya. Byull. NTI [Ferrous Metallurgy. Byull. NTI], 2003, No. 12, pp. 47-49. (In Russ.). 5. Minaev A. A., Smirnov E. N. Osobennosti pul' siruyushhego techeniya xladagenta v kamerax ustrojstv uskorennogo oxlazhdeniya [Features of pulsating refrigerant flow in chambers of accelerated cooling devices]. Izvestiya vuzov. Chernaya metallurgiya [Izvestiya vuzov. Ferrous metallurgy], 1988, No. 11, pp. 156-157. (In Russ.). 6. Minaev A. A., Berdichevsky Yu. E., Bublik P. F. Pokazatel' effektivnosti ustrojstv dlya oxlazhdeniya dvizhushhegosya prokata [Efficiency indicator of devices for cooling moving rolled products]. Izvestiya vuzov. Chernaya metallurgiya [Izvestiya vuzov. Ferrous metallurgy], 1985, No. 6, pp. 154-155. (In Russ.). 7. Minaev A. A. Onishchenko S. A., Grebelny A. V. Razrabotka metodiki rascheta teploobmena v ustrojstve dlya reguliruemogo oxlazhdeniya v potoke prokatnogo stana [Development of a method for calculating heat transfer in a device for controlled cooling in a rolling mill stream]. Teplofizika texnologicheskixprocessov, Thesis. dokl. VI Vsesoyuz. Conf. [Thermophysics of technological processes]. Tashkent, 1984, Part 3, рp. 2. 8. Khudik Yu. T. et al. Issledovanie sluzhebny' x xarakteristik ustanovki dlya termicheskogo uprochneniya armaturnoj stali v potoke stana 250-5 zavoda “KrivorozhstaT” [Investigation of the service characteristics o f the installation for thermal hardening o f reinforcing steel in the flow of the mill 250-5 o f the Krivorozhstal plant]. Termicheskaya obrabotka metallov [Heat treatment of metals]. Moscow, 1979, Issue 8, pp. 65-66. (In Russ.). 9. Solod V. S. Fiziko-matematicheskaya model' dlya razrabotki e'kspertnoj sistemy' uskorennogo oxlazhdeniya armaturnogo prokata [A physico-mathematical model for the development o f an expert system for accelerated cooling of rebar products]. Problemy' iskusstvennogo intellekta [Problems of artificial intelligence], 2025, No. 2 (37), pp. 44-58. doi:10.24412/2413-7383-2024-3-20-28 (In Russ.). 10. Gubinsky V. I., Rybalov A. A. Modelirovanie uskorennogo oxlazhdeniya armaturnogo prokata v potoke nepreryvnyx melkosortny'x stanov [Modeling of accelerated cooling of rebar rolled products in the flow of continuous small-grade mills]. Promyshlennaya teplotexnika [Industrial heat engineering], 2002, Vol. 24, No. 6, pp. 24-28. (In Russ.). 11. Gubinsky V. I., Minaev A. N., Goncharov Yu. V. Umenshenie okalinoobrazovaniyapriproizvodstveprokata [Reduction of scale formation in the production o f rolled products]. Kyiv, Technique, 1981, 135 p.