Труды КНЦ (Технические науки вып.3/2025(16))

7. Song W. et al. Review of Nodule Mineral Image Segmentation Algorithms for Deep-Sea Mineral Resource Assessment. Computers, Materials and Continua, 2022, vol. 73, no. 1, pp. 1649-1669. 8. Chen Z. et al. Deep learning-based method for SEM image segmentation in mineral characterization, an example fromDuvernay Shale samples in Western Canada Sedimentary Basin. Computers & Geosciences, 2020, vol. 138, p. 104450. 9. WangY. D. et al. Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images. Applied Soft Computing, 2021, vol. 104, p. 107185. 10. Li Z. et al. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects. IEEE Transactions on Neural Networks and Learning Systems, 2022, vol. 33, A Survey of Convolutional Neural Networks, no. 12, pp. 6999-7019. 11. He K. et al. Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR ), 2016, pp. 770-778. 12. Nesteruk S. et al. MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description. Computers & Geosciences, 2023, vol. 178, MineralImage5k, p. 105414. 13. Yen S.-J., LeeY.-S. Under-Sampling Approaches for Improving Prediction of the Minority Class in an Imbalanced Dataset. Intelligent Control and Automation: International Conference on Intelligent Computing, ICIC 2006 Kunming, China, August 16-19, 2006: Lecture Notes in Control and Information Sciences / eds. D.-S. Huang, K. Li, G. W. Irwin. Berlin, Heidelberg: Springer, 2006, pp. 731-740. Информация об авторах В. В. Диковицкий — кандидат технических наук, старший научный сотрудник; М. Г. Шишаев — доктор технических наук, главный научный сотрудник. Information about the authors V. V. Dikovitsky — Candidate of Science (Tech.), Senior Research Fellow; M. G. Shishaev — Doctor of Science (Tech.), Chief Research Fellow. Статья поступила в редакцию 30.10.2025; одобрена после рецензирования 14.11.2025; принята к публикации 17.11.2025. The article was submitted 30.10.2025; approved after reviewing 14.11.2025; accepted for publication 17.11.2025. Труды Кольского научного центра РАН. Серия: Технические науки. 2025. Т. 16, № 3. С. 106-116. Transactions of the Kola Science Centre of RAS. Series: Engineering Sciences. 2025. Vol. 16, No. 3. P. 106-116. 116 © Диковицкий В. В., Шишаев М. Г., 2025