DSpace Collection: https://elib.psu.by/handle/123456789/29260 2026-04-14T18:38:27Z 2026-04-14T18:38:27Z Integral transform with the legendre function of the first kind in the kernel on ,r L-space Aleksandrovich, T. Skoromnik, O. https://elib.psu.by/handle/123456789/37258 2023-01-11T11:48:35Z 2016-01-01T00:00:00Z Title: Integral transform with the legendre function of the first kind in the kernel on ,r L-space Authors: Aleksandrovich, T.; Skoromnik, O. 2016-01-01T00:00:00Z Investigating the behavior of axially loaded bored piles embedded in soil useding finite elements method Ali Abdulla Abd Al-Roba’y Ali Saadoon Saadoon Sura https://elib.psu.by/handle/123456789/37259 2023-01-17T10:52:46Z 2016-01-01T00:00:00Z Title: Investigating the behavior of axially loaded bored piles embedded in soil useding finite elements method Authors: Ali Abdulla Abd Al-Roba’y; Ali Saadoon Saadoon Sura Abstract: This comparative study is performed on bored piles by varying the basic problem parameters that are expected to affect pile carrying capacity and comparing the obtained results with those of the original basic problems, in order to get more knowledge about the behavior of bored piles under compressive load, and to include the best design for future pile construction. 2016-01-01T00:00:00Z Content recognition of bank cards in IOS mobile devices Kurilovich, A. Bohush, R. https://elib.psu.by/handle/123456789/37256 2023-01-11T11:47:22Z 2016-01-01T00:00:00Z Title: Content recognition of bank cards in IOS mobile devices Authors: Kurilovich, A.; Bohush, R. Abstract: In this article we propose research for existing recognition methods of text fields on documents with flexible forms. Description of adaptability of flexible forms processing from different spheres for bank card details recognition is presented. This approach will allow us to recognize all the information fields by a bank card image with minimum user contribution. This will get rid a user of routine procedures. 2016-01-01T00:00:00Z K-means clustering algorithm implementation using nvidia cuda technology Lukyanau, A. Bohush, R. https://elib.psu.by/handle/123456789/37257 2023-01-11T11:47:22Z 2016-01-01T00:00:00Z Title: K-means clustering algorithm implementation using nvidia cuda technology Authors: Lukyanau, A.; Bohush, R. Abstract: The purpose of this paper is to describe the key points of the implementation of clustering algorithm kmeans on the graphics adapter using Nvidia CUDA technology. To compare the performance for parallel processing and structured programming shows the implementation of the algorithm on the CPU. Results of experiments are presented. 2016-01-01T00:00:00Z