Zobrazeno 1 - 10
of 69 528
pro vyhledávání: '"A. A. Lev"'
Autor:
Daspute, Mangesh, Wandel, Amri, Kopparapu, Ravi Kumar, Perdelwitz, Volker, Teklu, Jerusalem Tamirat, Tal-Or, Lev
We analyze four super-Earth exoplanets, LHS 1140 b, K2-18 b, TOI-1452 b, and TOI-1468 c, which orbit M-dwarf stars in the habitable zone. Their relative proximity, within 40 parsecs, makes them prime candidates for follow-up observations and atmosphe
Externí odkaz:
http://arxiv.org/abs/2412.08476
Many ensemble-based models have been proposed to solve machine learning problems in the survival analysis framework, including random survival forests, the gradient boosting machine with weak survival models, ensembles of the Cox models. To extend th
Externí odkaz:
http://arxiv.org/abs/2412.07638
We consider the effect of the emergence of chimera states in a system of coexisting stationary and flying-through in potential particles with an internal degree of freedom determined by the phase. All particles tend to an equilibrium state with a sma
Externí odkaz:
http://arxiv.org/abs/2412.05044
Autor:
Bilokon, Elvira, Bilokon, Valeriia, Lindberg, Dusty R., Sotnikov, Andrii, Kaplan, Lev, Bondar, Denys I.
We investigate the tunneling dynamics of few-fermion systems in lattices under asymmetric external potentials - a setup realizable in experiments with ultracold atoms in optical lattices. We first prove that noninteracting fermions exhibit symmetric
Externí odkaz:
http://arxiv.org/abs/2412.03495
We study the associated $J/{\psi}$ and direct photon production in the high-energy factorization, as it is formulated in the parton Reggeization approach, using two different models for the hadronization of a heavy quark-antiquark pair into a heavy q
Externí odkaz:
http://arxiv.org/abs/2412.01710
Autor:
Chertenkov, Vladislav, Shchur, Lev
The main question raised in the letter is the applicability of a neural network trained on a spin lattice model in one universality class to test a model in another universality class. The quantities of interest are the critical phase transition temp
Externí odkaz:
http://arxiv.org/abs/2411.13027
The use of machine learning to predict wave dynamics is a topic of growing interest, but commonly-used deep learning approaches suffer from a lack of interpretability of the trained models. Here we present an interpretable machine learning framework
Externí odkaz:
http://arxiv.org/abs/2411.11556
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
Publikováno v:
Advances in Information and Communication Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3
It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algo
Externí odkaz:
http://arxiv.org/abs/2411.10474