Zobrazeno 1 - 10
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pro vyhledávání: '"Lev, A"'
To date, a number of changing-look (CL) active galactic nuclei (AGNs) are known. We studied, in detail what happens to the X-ray spectrum during the CL events using the example of the nearby CL Seyfert NGC1566, which was observed by Swift, NuSTAR, XM
Externí odkaz:
http://arxiv.org/abs/2411.09781
This article presents a mathematical model of dynamic pricing for real estate (RE) that incorporates multiple pricing groups, thereby expanding the capabilities of existing models. The developed model solves the problem of maximizing aggregate cumula
Externí odkaz:
http://arxiv.org/abs/2411.07732
Autor:
Novitskiy, Lev, Lazarev, Vladimir, Tiutiulnikov, Mikhail, Vakhrameev, Nikita, Eremin, Roman, Humonen, Innokentiy, Kuznetsov, Andrey, Dimitrov, Denis, Budennyy, Semen
For a very long time, computational approaches to the design of new materials have relied on an iterative process of finding a candidate material and modeling its properties. AI has played a crucial role in this regard, helping to accelerate the disc
Externí odkaz:
http://arxiv.org/abs/2411.03156
We set out to explore the possibility of investigating the critical behavior of systems with first-order phase transition using deep machine learning. We propose a machine learning protocol with ternary classification of instantaneous spin configurat
Externí odkaz:
http://arxiv.org/abs/2411.00733
The simplest model of contraction-driven self-propulsion of keratocytes reduces to a one dimensional Keller-Segel system with free boundaries. This "active" model involving both dissipation and anti-dissipation features stationary and traveling wave
Externí odkaz:
http://arxiv.org/abs/2410.21196
We study the sensitivity of presupernova evolution and supernova nucleosynthesis yields of massive stars to variations of the initial composition. We use the solar abundances from Lodders (2009), and compute two different initial stellar compositions
Externí odkaz:
http://arxiv.org/abs/2410.16594
Influence of anisotropy on the study of critical behavior of spin models by machine learning methods
Autor:
Sukhoverkhova, Diana, Shchur, Lev
Publikováno v:
Pis'ma v ZhETF, 120(8), 644-649 (2024)
In this paper, we applied a deep neural network to study the issue of knowledge transferability between statistical mechanics models. The following computer experiment was conducted. A convolutional neural network was trained to solve the problem of
Externí odkaz:
http://arxiv.org/abs/2410.14523
It is possible to have a packing by translates of a cube that is maximal (i.e.\ no other cube can be added without overlapping) but does not form a tiling. In the long running analogy of packing and tiling to orthogonality and completeness of exponen
Externí odkaz:
http://arxiv.org/abs/2410.12387
Search-based software testing (SBST) is a widely adopted technique for testing complex systems with large input spaces, such as Deep Learning-enabled (DL-enabled) systems. Many SBST techniques focus on Pareto-based optimization, where multiple object
Externí odkaz:
http://arxiv.org/abs/2410.11769
We compare ambient and outer Lipschitz geometry of Lipschitz normally embedded H\"older triangles in $\mathbb{R}^4$. In contrast to the case of $\mathbb{R}^3$ there are infinitely many equivalence classes. The equivalence classes are related to the s
Externí odkaz:
http://arxiv.org/abs/2410.09532