Zobrazeno 1 - 10
of 7 519
pro vyhledávání: '"A, Lukyanov"'
The vulnerability of artificial neural networks to adversarial perturbations in the black-box setting is widely studied in the literature. The majority of attack methods to construct these perturbations suffer from an impractically large number of qu
Externí odkaz:
http://arxiv.org/abs/2410.15889
Autor:
Lukyanov, Sergiy V.
The time evolution of the distribution function for a particle-hole excitation in a Fermi system was calculated using the direct numerical solution of a nonlinear diffusion equation in momentum space. A phenomenological expression for calculating the
Externí odkaz:
http://arxiv.org/abs/2410.10492
Autor:
Aidos, Azhibekov, Sergey, Lukyanov, Yuri, Penionzhkevich, Bakytzhan, Urazbekov, Mikhail, Naumenko, Vyacheslav, Samarin, Talgat, Issatayev, Vladimir, Maslov, Kayrat, Mendibayev, Dauren, Aznabayev, Alisher, Temirzhanov
The paper presents the results of experiments on measuring the cross sections for elastic scattering and nucleon transfer channels in the $^{6}$Li + $^{9}$Be reaction at an incident energy of 68 MeV: $^{9}$Be($^{6}$Li,$^{6}$Li)$^{9}$Be, $^{9}$Be($^{6
Externí odkaz:
http://arxiv.org/abs/2407.19846
Publikováno v:
Nucl. Phys. B 1006 (2024) 116624
It is known that for the Heisenberg XXZ spin-$\frac{1}{2}$ chain in the critical regime, the scaling limit of the vacuum Bethe roots yields an infinite set of numbers that coincide with the energy spectrum of the quantum mechanical 3D anharmonic osci
Externí odkaz:
http://arxiv.org/abs/2406.12102
Publikováno v:
2022 Ivannikov Ispras Open Conference (ISPRAS), 2022, pp. 31-36
Social networks crawling is in the focus of active research the last years. One of the challenging task is to collect target nodes in an initially unknown graph given a budget of crawling steps. Predicting a node property based on its partially known
Externí odkaz:
http://arxiv.org/abs/2403.13865
Autor:
Pozdnyakov, Vitaliy, Kovalenko, Aleksandr, Makarov, Ilya, Drobyshevskiy, Mikhail, Lukyanov, Kirill
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, 5 (2024) 428-440
Integrating machine learning into Automated Control Systems (ACS) enhances decision-making in industrial process management. One of the limitations to the widespread adoption of these technologies in industry is the vulnerability of neural networks t
Externí odkaz:
http://arxiv.org/abs/2403.13502
We hypothesize that the spread of oil slicks on the water's surface during oil spills is significantly influenced by water wave motion at the initial or intermediate spreading stages, well before emulsification processes have a substantial impact on
Externí odkaz:
http://arxiv.org/abs/2403.06530
Autor:
Bakytzhan, Urazbekov, Talgat, Issatayev, Sergey, Lukyanov, Aidos, Azhibekov, Andrey, Denikin, Kayrat, Mendibayev, Daniyar, Janseitov, Yuri, Penionzhkevich, Kayrat, Kuterbekov, Timur, Zholdybayev
$ $An experiment has been carried out for studying the cluster structure of $^9$Be induced by the $^3$He ions at the energy of 30 MeV. As results of the nuclear reaction $^3$He + $^9$Be the differential cross sections for the exit channels - elastic,
Externí odkaz:
http://arxiv.org/abs/2310.11306
Publikováno v:
Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, Vol 23, Iss 3, Pp 42-57 (2024)
This paper proposes a method for selecting rational parameters for large-size aircraft-type unmanned aerial vehicles at the initial design stages using an optimization algorithm of differential evolution and numerical mathematical modeling of aerodyn
Externí odkaz:
https://doaj.org/article/ed2bb399cab94ce79af784dc75be02ca
Autor:
Alexey E. Pestov, Aleksei Ya. Lopatin, Petr V. Volkov, Maria V. Zorina, Andrei Yu. Lukyanov, Ilya V. Malyshev, Mikhail S. Mikhailenko, Mikhail N. Toropov, Daniil A. Semikov, Aleksei K. Chernyshev, Nikolay I. Chkhalo, Pavel A. Yunin, Egor I. Glushkov, Sergey K. Gordeev, Svetlana B. Korchagina
Publikováno v:
Journal of Synchrotron Radiation, Vol 31, Iss 5, Pp 1179-1188 (2024)
The paper considers the possibility of using the diamond-silicon carbide composite Skeleton® with a technological coating of polycrystalline silicon as a substrate for X-ray mirrors used with powerful synchrotron radiation sources (third+ and fourth
Externí odkaz:
https://doaj.org/article/eca880aa54cc4dad97641b33c92211d5