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1. Intelligent Sentinel satellite image processing technology for land cover mapping: (Content №5 2024); ... Kim, H., Nah, S., & Mu Lee, K. (2017). Enhanced deep residual networks for single image super-resolution. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, ...; Created on 29 October 2024
2. Automated building damage detection on digital imagery using machine learning: (Content №6 2023); ... the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (pp. 3431-3440). Boston, MA, USA. https://doi.org/10.1109/CVPR.2015.7298965. 15. Liu, L., Ouyang, W., Wang, X., Fieguth, W. P., ...; Created on 23 December 2023
3. Parameterization of the statistical model for electrical energy efficiency control: (Content №4 2023); ... 12. Chung, S., Park, Y., & Cheong, T. (2020). A mathematical programming approach for integrated multiple linear regression subset selection and validation. Pattern Recognition, 108, 1-25. https://doi.org/10.1016/j.patcog.2020.107565. ...; Created on 28 August 2023
4. Homomorphic filtering in digital multichannel image processing: (Content №3 2023); ... Darrell, T. (2016). Fully Convolutional Networks for Semantic Segmentation. Computer Vision and Pattern Recognition. https://doi.org/10.48550/arXiv.1411.4038. 18. Fu, G., Liu, C., Zhou, R., Sun, T., ...; Created on 27 June 2023
5. Minimization of dynamic changes in the tension of long products behind the outlet cage in rolling stock production in coils: (Content №6 2022); Authors: O.Boyko*, orcid.org/0000-0002-9714-2843, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. V.Kuvaiev, orcid.org/0000-0001-6329-071X, Dnipro University ...; Created on 25 December 2022
6. Quality assessment of 3D point cloud of industrial buildings from imagery acquired by oblique and nadir UAV flights: (Content №5 2021); ... 24. Furukawa, Y., Curless, B., Seitz, S.M., & Szeliski, R. (2010). Towards Internet-scale multi-view stereo. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1434-1441. ...; Created on 29 October 2021
7. Feature space of the Atasu type deposits (Сentral Kazakhstan): (Content №5 2021); ... of mineralization and metamorphism References. 1. Langer, H., Falsaperla, S., & Hammer, C. (2020). Advantages and Pitfalls of Pattern Recognition: Selected Cases in Geophysics. Elsevier. ISBN: 978-0-12-811842-9. ...; Created on 29 October 2021
8. Method for evaluating technical condition of aggregates based on artificial intelligence: (Contens №2 2020); Authors: M. l. Horbiichuk, Dr. Sc. (Tech.), Prof., orcid.org/0000-0002-8586-1883, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ...; Created on 10 May 2020
9. Neural network identification technology for manufacturing operations of drilling rig: (Information technologies, systems analysis and administration); ... rig is formulated as the problem of pattern recognition. The Hamming neural network method was used to solve this problem. Findings. An analysis of the basic technological operations of a rig was ...; Created on 24 July 2017
10. Image compression and encryption scheme based on deep learning: (Information technologies, systems analysis and administration); ... Fischer, A., and Igel, C., 2014. Training restricted Boltzmann machines: An introduction. Pattern Recognition, No. 47(1), рр. 25–39. 3. Ma, X., and Wang, X., 2016. Average Contrastive Divergence for ...; Created on 19 January 2017
11. An image copyright protection and tampering detection scheme based on deep learningand memristor: (Information technologies, systems analysis and administration); ... Point Detection. International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 8, No. 2, pp. 185–200. 6. Göpfert, F., Schmidt, R., Wulff, J. and Zink, K., 2015. Effect ...; Created on 17 November 2016
12. Nonlinear dynamical analysis of abrupt welding texture change: (Information technologies, systems analysis and administration); ... H., Zheng, J. and Wei, L., 2013. Texture aware image segmentation using graph cuts and active contours. Pattern Recognition, Vol. 46, No. 6, pp. 1719–1733. 2. Asha, V., Bhajantri, N. U. and Nagabhushan, ...; Created on 17 November 2016
13. FINANCIAL STATEMENT FRAUD DETECTION THROUGH MULTIPLE INSTANCE LEARNING: (Economy and management); ... and Pattern Recognition, pp. 2433–2440. ...; Created on 04 August 2016
14. Ensemble classification algorithm based improved SMOTE for imbalanced data: (Information technologies, systems analysis and administration); ... using second-order cone programming support vector machines. Pattern Recognition, vol.47, no.5, pp.2070‒2079. 4. Barua, S., Islam, M.M. and Yao, X., 2014. MWMOTE-majority weighted minority-oversampling ...; Created on 23 June 2016
15. A differential clustering algorithm based on elite strategy: (Information technologies, systems analysis and administration); ... Tzortzis and Aristidis Likas, 2014. The MinMax K-Means clustering algorithm. Pattern Recognition, vol.47, no.7, pp. 2505‒2516. 10. Velmurugan, T., 2014. Performance based analysis between K-means ...; Created on 23 June 2016
16. Optimizing feed-forward neural network weight based on orthogonal genetic algorithm: (Information technologies, systems analysis and administration); ... Artificial neural network has been successfully applied in such fields as pattern recognition, intelligent control, combinatorial optimization and prediction. The integration of neural network and other ...; Created on 02 April 2016
17. An image retrieval and semantic mapping method based on region of interest: (Information technologies, systems analysis and administration); ... vol. 3, no.1, pp. 39−57. 9. Liu, G.H. and Yang, J.Y. (2013), “Content-based image retrieval using color difference histogram”, Pattern Recognition, vol. 46, no.1, pp. 188−198. 10. Wang, X. and ...; Created on 08 February 2016
18. GSVD/LDA-based RVM scheme for fault detection of broken rotor bars in induction motor: (Electrical complexes and systems); ... and Gopal, M. (2010), “A comparison study on multiple binary-class SVM methods for unilabel text categorization”, Pattern Recognition Letters, vol. 31, no.11, pp. 1437–1444. Saidi, L., ...; Created on 08 February 2016
19. Optimization of hydrogen-fueled engine ignition timing based on the particle swarm optimized fuzzy neural network: (Information technologies, systems analysis and administration); ... SAE International Journal of Engines, vol.2, no.2, pp. 132−140. 6. Salama, M.M.A (2002), “Determination of neural-net-work topology for partial discharge pulse pattern recognition”, IEEE Transactions ...; Created on 04 February 2016
20. Synthesis fundamentals of classifiers for technical systems of patterns recognition with the use of human’s models of emotional processes: (Information technologies, systems analysis and administration); ... Lew Yan Voon, Christophe Stolz and Alexandre Piboule, (2013), “Single tree species classification from Terrestrial Laser Scanning data for forest inventory”, Pattern Recognition Letters, Vol. 34, pp. 2144–2150. ...; Created on 29 March 2015

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