Zobrazeno 1 - 5
of 5
pro vyhledávání: '"A. M. Nedzved"'
Autor:
A. M. Nedzved, V. V. Starovoytov
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 3, Pp 12-18 (2019)
The method for development of intelligent software for image analysis is described. It is based on control shell of scripts generating that are controlled by an intelligent agent in software. The method is based on a combination of features of dynami
Externí odkaz:
https://doaj.org/article/dee5cd06941f42749e7eba5dd932abb2
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 8, Pp 24-30 (2019)
A skeleton building algorithm in case of lack of memory is presented. Built skeleton is topologically equivalent to the original object. Despite the fact that data are processed locally, this algorithm preserves a skeleton global attribute - centered
Externí odkaz:
https://doaj.org/article/b07bd6a3043a4c9c97c75f5dfa8885b8
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 4, Pp 25-31 (2019)
The results of a study of the application of deep neural convolutional networks to hyperspectral images are presented.
Externí odkaz:
https://doaj.org/article/d938a14319654791bfc850d554532942
Autor:
O. V. Nedzvedz, S. V. Ablameyko, A. M. Nedzved, A. V. Glinsky, G. M. Karapetyan, A. A. Anisimov, I. B. Gurevich, V. V. Yashina
Publikováno v:
Informatika, Vol 15, Iss 1, Pp 92-102 (2018)
The method of determination of the dynamic characteristics like the vessel diameter change, the linear and volume blood velocities in the vessels of the eye fundus is considered. Such characteristics allow to determine blood flow changes in the micro
Externí odkaz:
https://doaj.org/article/aa5ad4acd6b440f7ab6a5237bbd918d7
Publikováno v:
Журнал Белорусского государственного университета: Математика, информатика, Iss 2, Pp 105-114 (2020)
In this paper, we investigate the urgent problem associated with bone age determination using hand X-rays. A combined algorithm for the recognition of radiographs is proposed, which uses simultaneous two neural network models, based on Xception and D
Externí odkaz:
https://doaj.org/article/3f504d6f73a8483ab403cc3d76fac23f