Zobrazeno 1 - 10
of 83 169
pro vyhledávání: '"Sadeghi, A"'
This paper proposes a new unsupervised audiovisual speech enhancement (AVSE) approach that combines a diffusion-based audio-visual speech generative model with a non-negative matrix factorization (NMF) noise model. First, the diffusion model is pre-t
Externí odkaz:
http://arxiv.org/abs/2410.05301
Autor:
Gashti, Saeed Noori, Afshar, Mohammad Ali S., Alipour, Mohammad Reza, Sekhmani, Yassine, Sadeghi, Jafar, Rayimbaeva, Javlon
In this paper, we investigate the topological charge and the conditions for the existence of the photon sphere (PS) in Kiselev-AdS black holes within \(f(R, T)\) gravity. We employ two different methods based on Duan's topological current \(\phi\)-ma
Externí odkaz:
http://arxiv.org/abs/2410.02262
Autor:
Wohlrath, V., Sadeghi, Z., Kimák, J., Hovořáková, K., Kubaščík, P., Schmoranzerová, E., Nádvorník, L., Trojánek, F., Němec, P., Ostatnický, T.
We present a method for a precise determination of magnetic anisotropy and anisotropy of quadratic magneto-optical response of thin films of ferromagnetic and ferrimagnetic materials. The method is based on measurements of a magneto-optical response
Externí odkaz:
http://arxiv.org/abs/2409.20205
In this paper, we propose a framework to enhance the robustness of the neural models by mitigating the effects of process-induced and aging-related variations of analog computing components on the accuracy of the analog neural networks. We model thes
Externí odkaz:
http://arxiv.org/abs/2409.18553
Autor:
Sadeghi, Mehdi
In this paper, we explore a modified black brane within AdS spacetime, characterized by the Lagrangian density $\frac{1}{q} \text{arcsin}(qR)-2\Lambda$. Due to the absence of an analytic solution, we approach the Einstein equations using a perturbati
Externí odkaz:
http://arxiv.org/abs/2409.14315
We study the problem of system identification for stochastic continuous-time dynamics, based on a single finite-length state trajectory. We present a method for estimating the possibly unstable open-loop matrix by employing properly randomized contro
Externí odkaz:
http://arxiv.org/abs/2409.11327
Autor:
Khalili, Erfan Amoozad, Ghasemzadeh, Kiarash, Gohari, Hossein, Jafari, Mohammadreza, Jamshidi, Matin, Khaksar, Mahdi, AkramiFard, AmirReza, Hatamzadeh, Mana, Sadeghi, Saba, Moaiyeri, Mohammad Hossein
This paper presents the development of the Auriga @Work robot, designed by the Robotics and Intelligent Automation Lab at Shahid Beheshti University, Department of Electrical Engineering, for the RoboCup 2024 competition. The robot is tailored for in
Externí odkaz:
http://arxiv.org/abs/2409.06693
Autor:
Sekhmani, Yassine, Gashti, Saeed Noori, Afshar, Mohammad Ali S., Alipour, Mohammad Reza, Sadeghi, Jafar, Rayimbaev, Javlon
The topology of black hole thermodynamics is a fascinating area of study that explores the connections between thermodynamic properties and topological features of black holes. This paper has led to several significant findings: We successfully deriv
Externí odkaz:
http://arxiv.org/abs/2409.04997
In this paper, we extend the framework of quantitative information flow (QIF) to include adversaries that use Kolmogorov-Nagumo $f$-mean to infer secrets of a private system. Specifically, in our setting, an adversary uses Kolmogorov-Nagumo $f$-mean
Externí odkaz:
http://arxiv.org/abs/2409.04108
Deep Neural Networks (DNNs) can handle increasingly complex tasks, albeit they require rapidly expanding training datasets. Collecting data from platforms with user-generated content, such as social networks, has significantly eased the acquisition o
Externí odkaz:
http://arxiv.org/abs/2409.01470