Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Dmitry A. Nikolaev"'
Autor:
Dmitry A. Nikolaev
Publikováno v:
Высшее образование в России, Vol 0, Iss 2, Pp 153-154 (2016)
The article touches upon a phenomenon of military historical reconstruction as an actual and demanded form of study of military history. Concrete practices of its embodiment are described.
Externí odkaz:
https://doaj.org/article/19669396742d44b29f76ad1ededf0238
Autor:
Ekaterina O. Rybakova, Anton V. Trusov, Elena E. Limonova, Natalya S. Skoryukina, Konstantin B. Bulatov, Dmitry P. Nikolaev
Publikováno v:
IEEE Access, Vol 11, Pp 82151-82166 (2023)
This paper focuses on the computational optimization of RANSAC. We describe the Parallel Efficient Sample Consensus (PESAC) framework that allows efficient utilization of SIMD extensions and provides memory locality due to a special way of storing th
Externí odkaz:
https://doaj.org/article/7fb6ba744f38469fbba08b3eb4da4e0f
Autor:
Nadezhda V. Orlova, Dmitry V. Nikolaev
Publikováno v:
Russian Journal of Economics, Vol 8, Iss 1, Pp 29-48 (2022)
For the last 10–15 years, Russia has become the key player in the world agricultural market. Increasing export volume up to $45 billion by 2025 is the ambitious plan of the Russian Government. Windows of opportunity that create fundamentally new pr
Externí odkaz:
https://doaj.org/article/53977f13d44340bd87b75aead02c0af3
Publikováno v:
Безопасность информационных технологий, Vol 28, Iss 3, Pp 81-91 (2021)
The paper investigates a nonlinear substitution transformation, presented as an element of the number system of factorial sets. This approach takes into account the characteristic features of substitutions and al-lows you to minimize the amount of me
Externí odkaz:
https://doaj.org/article/69eab5a9890d4a4895869332a0c3c43f
Publikováno v:
IEEE Access, Vol 9, Pp 97569-97581 (2021)
The priority of building hardware-oriented neural network models is growing steadily. The target goals for their development are the performance and energy efficiency of promising hardware-software solutions. Simultaneously, for different classes of
Externí odkaz:
https://doaj.org/article/42d20b175dbb4d85b892d716f9e71534
Publikováno v:
IEEE Access, Vol 9, Pp 133023-133042 (2021)
The construction of perceptually uniform color space is an important task of color theory. Many image processing applications requires the color difference to replicate human perception. The perceptual difference is poorly approximated by Euclidean d
Externí odkaz:
https://doaj.org/article/63697c2d831244cdbcb86f004cc1e7ba
Publikováno v:
IEEE Access, Vol 9, Pp 168162-168184 (2021)
Convolution is the most time-consuming operation in modern deep artificial neural networks, so its performance is crucial for fast inference. One of the standard approaches to fast convolution computation is to use GeMM-based convolution algorithms r
Externí odkaz:
https://doaj.org/article/426a0c98df4048fdbae0d97a44f707c2
Autor:
Dmitry V. Polevoy, Irina V. Sigareva, Daria M. Ershova, Vladimir V. Arlazarov, Dmitry P. Nikolaev, Zuheng Ming, Muhammad Muzzamil Luqman, Jean-Christophe Burie
Publikováno v:
Journal of Imaging, Vol 8, Iss 7, p 181 (2022)
Various government and commercial services, including, but not limited to, e-government, fintech, banking, and sharing economy services, widely use smartphones to simplify service access and user authorization. Many organizations involved in these ar
Externí odkaz:
https://doaj.org/article/98e18757077c488d806e77cebb8d50a9
Autor:
Dmitry N. Maystrenko, Mikhail I. Generalov, Aleksandr S. Ivanov, Anna N. Oleshchuk, Denis M. Kokorin, Dmitry N. Nikolaev, Aleksey D. Maystrenko, Alena A. Popova, Oleg E. Molchanov, Andrey A. Stanzhevsky
Publikováno v:
Bulletin of the Russian Military Medical Academy. 25:9-22
This study presents the technology of developing a universal stent graft for endovascular treatment of aneurysms and aortic dissection of various localizations, without considering the vessel diameter. A self-expanding nitinol stent was used as the f
Publikováno v:
Труды Санкт-Петербургского государственного морского технического университета. :106-119