Статьи и монографии:

1. Pletenkova, A.D Anomaly Detection in Water Treatment System Data Using Kohonen's Self-Organising Neural Network / A.D. Pletenkova, A.N. Sokolov, A.N. Ruchay //Proceedings - 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).–2025.– P.957-961
2. Analysis of Runs of Homozygosity in Aberdeen Angus Cattle / V.. Kolpakov //Animals.–2024.–Vol. 14 No. 15
3. On-barn cattle facial recognition using deep transfer learning and data augmentation / Ruchay, A. //Computers and Electronics in Agriculture.–2024.–Vol. 225
4. Asyaev, G. Intelligent Algorithms for Event Processing and Decision Making on Information Protection Strategies against Cyberattacks / G.. Asyaev, A.. Sokolov, A.. Ruchay //Mathematics.–2023.–Vol. 11 No. 18
5. The Imbalanced Classification of Fraudulent Bank Transactions Using Machine Learning / Ruchay, A. //Mathematics.–2023.–Vol. 11 No. 13
6. Dorofeev, K.. COMBINED 2D/3D APPROACH FOR IMPROVING THE ACCURACY OF FACE RECOGNITION SYSTEMS USING DEEP LEARNING / K.. Dorofeev, A.. Ruchay //Chelyabinsk Physical and Mathematical Journal.–2022.–Vol. 7 No. 4.– P.490-504
7. Segmentation of Breast Masses in Digital Mammography Based on U-Net Deep Convolutional Neural Networks / Ruchay, A. //Journal of Communications Technology and Electronics.–2022.–Vol. 67 No. 12.– P.1531-1541
8. Ручай, А.Н. МЕТОДЫ МАШИННОГО ОБУЧЕНИЯ И ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В СФЕРЕ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ: АНАЛИЗ СОВРЕМЕННОГО СОСТОЯНИЯ И ПЕРСПЕКТИВЫ РАЗВИТИЯ / А.Н. Ручай, Токарев И., Грибачёв А. //Вестник УрФО. Безопасность в информационной сфере.–2022 № 4 (46).– C.76-87
9. СЕГМЕНТАЦИЯ ОБРАЗОВАНИЙ ГРУДИ В ЦИФРОВОЙ МАММОГРАФИИ НА ОСНОВЕ ГЛУБОКОЙ СВЕРТОЧНОЙ НЕЙРОННОЙ СЕТИ U-NET / А.Н. Ручай //Информационные процессы.–2022.–Том 22 № 2.– C.63-76
10. A technology of contactless three-dimensional reconstruction of animal models using depth cameras / Ruchay, A. //Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology.–2021.– P.1-5
11. Bitcoin abnormal transaction detection based on machine learning / E.. Feldman //Communications in Computer and Information Science.–2021.–Vol. 1357.– P.205-215
12. Bitcoin abnormal transaction detection model based on machine learning / E.. Feldman //Chelyabinsk Physical and Mathematical Journal.–2021.–Vol. 6 No. 1.– P.119-132
13. Classification of Breast Abnormalities Using a Deep Convolutional Neural Network and Transfer Learning / Ruchay, A. //Journal of Communications Technology and Electronics.–2021.–Vol. 66 No. 6.– P.778-783
14. Fast 3D object symmetry detection for point cloud / Ruchay, A. //Proceedings of SPIE - The International Society for Optical Engineering.–2021.–Vol. 11842
15. Live weight prediction of cattle using deep image regression / Ruchay, A. //2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings.–2021.– P.32-36
16. Morphological characteristics of Aberdeen-Angus cows and heifers in relation to polymorphisms C528T and C73T of leptin gene / Ruchay, A. //IOP Conference Series: Earth and Environmental Science.–2021.–Vol. 848 No. 1
17. Qualitative and quantitative assessment of beef productivity in Aberdeen-Angus cows and heifers depending on the C73T/C528T haplotype in leptin gene / Ruchay, A. //IOP Conference Series: Earth and Environmental Science.–2021.–Vol. 839
18. Ruchay, A. Fast 3D object pose normalization for point cloud / A.. Ruchay, A.. Gladkov, R.. Chelabiev //Proceedings of SPIE - The International Society for Optical Engineering.–2021.–Vol. 11842
19. Ruchay, A. Fast algorithm of 3D object volume calculation from point cloud / A.. Ruchay, M.. Fedorova //Proceedings of SPIE - The International Society for Optical Engineering.–2021.–Vol. 11842
20. Ruchay, A. Fast approximate geodesic distance on point cloud / A.. Ruchay, K.. Dorofeev //Proceedings of SPIE - The International Society for Optical Engineering.–2021.–Vol. 11842
21. Фельдман Е. Модель выявления аномальных банковских транзакций на основе машинного обучения / Фельдман Е., А.Н. Ручай, Чербаджи Д. //Вестник УрФО. Безопасность в информационной сфере.–2021 № 1 (39).– C.27-35
22. Accuracy analysis of 3D object reconstruction using mesh filtering / Ruchay, A. //Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology.–2020
23. Accuracy analysis of surface reconstruction from point clouds / Ruchay, A. //Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology.–2020
24. Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recovery / Ruchay, A. //Computers and Electronics in Agriculture.–2020.–Vol. 179
25. Assessment of the occurrence of gene polymorphisms CAPN316 and UoGCAST in the population of cattle / D.. Kosyan //Biointerface Research in Applied Chemistry.–2020.–Vol. 10 No. 1.– P.4786-4789
26. Dorofeev, K.. Design of autonomous mobile systems for face recognition based on a DCNN with compression and pruning / K.. Dorofeev, A.. Ruchay //Proceedings of SPIE - The International Society for Optical Engineering.–2020.–Vol. 11510
27. Kober, V.. Tracking Multiple Objects with Locally Adaptive Generalized Optimum Correlation Filters / V.. Kober, A.. Ruchay, V.. Karnaukhov //Journal of Communications Technology and Electronics.–2020.–Vol. 65 No. 6.– P.716-724
28. Ruchay, A. Classification of breast abnormalities in digital mammography with a deep convolutional neural network / A.. Ruchay, K.. Dorofeev, V.. Kober //Proceedings of SPIE - The International Society for Optical Engineering.–2020.–Vol. 11510
29. Ruchay, A. Real-time dense 3D object reconstruction using RGB-D sensor / A.. Ruchay, K.. Dorofeev, V.. Kalschikov //Proceedings of SPIE - The International Society for Optical Engineering.–2020.–Vol. 11510
30. Классификация патологий молочной железы с использованием глубокой сверточной нейронной сети и трансферного обучения / А.Н. Ручай //Информационные процессы.–2020.–Том 20 № 4.– C.357-365
31. Разработка бесконтактной системы измерения морфологических признаков мясного скота / А.Н. Ручай //Вестник мясного скотоводства (Herald of Beef CattleBreeding).–2020.–Том 103 № 2.– C.157-164
32. Ручай, А.Н. Разработка избирательной мультибиометрической аутентификации / А.Н. Ручай //Вестник УрФО. Безопасность в информационной сфере.–2020 № 3 (37).– C.34-41
33. Ручай, А.Н. Разработка нового подхода регрессионного тестирования с полуавтоматическим выбором тестов для аудита IMS базы данных / А.Н. Ручай //Вестник УрФО. Безопасность в информационной сфере.–2020.–Том 38 № 4.– C.55-63
34. 3D face recognition using depth filtering and deep convolutional neural network / K.. Dorofeev //Proceedings of SPIE - The International Society for Optical Engineering.–2019.–Vol. 11137
35. A depth camera-based system for automatic measurement of live cattle body parameters / Ruchay, A. //IOP Conference Series: Earth and Environmental Science.–2019.–Vol. 341 No. 1
36. Accurate 3D shape recovery of live cattle with three depth cameras / Ruchay, A. //IOP Conference Series: Earth and Environmental Science.–2019.–Vol. 341 No. 1
37. Ruchay, A. A novel switching bilateral filtering algorithm for depth map / A.. Ruchay, K.. Dorofeev, V.. Kalschikov //Computer Optics.–2019.–Vol. 43 No. 6.– P.1001-1007
38. Ruchay, A. A regression testing with semi-automatic test selection for auditing of ims database / A.. Ruchay //Chelyabinsk Physical and Mathematical Journal.–2019.–Vol. 4 No. 2.– P.241-249
39. Ruchay, A. A switching morphological algorithm for depth map recovery / A.. Ruchay, K.. Dorofeev, V.. Kalschikov //Lecture Notes in Computer Science.–2019.–Vol. 11832.– P.357-366
40. Ruchay, A. Accuracy analysis of 3D object reconstruction using point cloud filtering algorithms / A.. Ruchay, K.. Dorofeev, V.. Kalschikov //CEUR Workshop Proceedings.–2019.–Vol. 2391.– P.169-174
41. Ruchay, A. Algorithm for Estimating Type and Probability of Impulse Noise in Color Images / A.. Ruchay, V.. Kober, V.. Karnaukhov //Journal of Communications Technology and Electronics.–2019.–Vol. 64 No. 12.– P.1508-1512
42. The assessment of morphological features in Hereford cattle / K.. Dzhulamanov //IOP Conference Series: Earth and Environmental Science.–2019.–Vol. 341 No. 1
43. Кобер В. Слежение за объектами с помощью адаптивных обобщенных корреляционных фильтров / Кобер В., А.Н. Ручай, Карнаухов В. //Информационные процессы.–2019.–Том 19 № 2.– C.79-91
44. Ручай, А.Н. Алгоритм оценивания типа и вероятности импульсного шума на цветных изображениях / А.Н. Ручай, Кобер В., Карнаухов В. //Информационные процессы.–2019.–Том 19 № 1.– C.47-53