Zobrazeno 1 - 10
of 19 254
pro vyhledávání: '"A. Talebi"'
Publikováno v:
Advances in Civil Engineering, Vol 2024 (2024)
Operational modal analysis is a robust and practical approach to structural health monitoring which assumes white noise as input. Therefore, the accuracy of this method can be compromised when dealing with colored unknown excitations, in which, for e
Externí odkaz:
https://doaj.org/article/9a2e208f6b394589b56959a3fd9693e3
Publikováno v:
Bulgarian Journal of Veterinary Medicine, Vol 25, Iss 4, Pp 634-647 (2022)
Infectious bursal disease (IBD) virus is considered one of the commonest immunosuppressive dis-eases in chickens. The aim of this study was to investigate the concurrent occurrence of subclinical IBD in respiratory complex infections caused by avian
Externí odkaz:
https://doaj.org/article/8ae01dc8f1644234b12e13686c234993
Publikováno v:
Bulgarian Journal of Veterinary Medicine, Vol 25, Iss 1, Pp 21-32 (2022)
Avian orthoavulavirus, commonly known as Newcastle disease virus (NDV) has been a constant threat for the poultry industry of Iran for decades. Recently, a couple of preliminary studies on back-yard and commercial chicken suggested that a major subge
Externí odkaz:
https://doaj.org/article/bb6791a2ffae47bf8e36c5b9172c267f
To address deviations from expected performance in stochastic systems, we propose a risk-sensitive control synthesis method to minimize certain risk measures over the limiting stationary distribution. Specifically, we extend Worst-case Conditional Va
Externí odkaz:
http://arxiv.org/abs/2410.17581
Autor:
Talebi, Shahriar, Li, Na
In stochastic systems, risk-sensitive control balances performance with resilience to less likely events. Although existing methods rely on finite-horizon risk criteria, this paper introduces \textit{limiting-risk criteria} that capture long-term cum
Externí odkaz:
http://arxiv.org/abs/2409.10767
This work studies offline Reinforcement Learning (RL) in a class of non-Markovian environments called Regular Decision Processes (RDPs). In RDPs, the unknown dependency of future observations and rewards from the past interactions can be captured by
Externí odkaz:
http://arxiv.org/abs/2409.02747
Autor:
A. Talebi, S.A.A. Salehi Neyshabouri
Publikováno v:
مهندسی عمران شریف, Vol 37.2, Iss 2.2, Pp 85-94 (2021)
Water quality is crucial to the development and management of water resources. Therefore, maintaining water quality, especially freshwater, which constitutes the major human consumption for a variety of drinking, agricultural, and industrial uses is
Externí odkaz:
https://doaj.org/article/f44bd02611064c9abf56c1f69dbd3d29
Web-based Large Language Model (LLM) services have been widely adopted and have become an integral part of our Internet experience. Third-party plugins enhance the functionalities of LLM by enabling access to real-world data and services. However, th
Externí odkaz:
http://arxiv.org/abs/2408.07004
Autor:
Talebi, Amirreza
We study opinion dynamics over a directed multilayer network. In particular, we consider networks in which the impact of neighbors of agents on their opinions is proportional to their in-degree. Agents update their opinions over time to coordinate wi
Externí odkaz:
http://arxiv.org/abs/2407.17749
Autor:
Talebi, Amirreza
Discrete choice models (DCMs) have been widely utilized in various scientific fields, especially economics, for many years. These models consider a stochastic environment influencing each decision maker's choices. Extensive research has shown that th
Externí odkaz:
http://arxiv.org/abs/2407.17014