Zobrazeno 1 - 10
of 133 945
pro vyhledávání: '"Maleki, A"'
Autor:
Homa Katouzian
Khalil Maleki (1901–1969) was a selfless campaigner for democracy and social welfare in twentieth-century Iran. His was a unique approach to politics, prioritising the criticism of policies detrimental to his country's development over the pursuit
Autor:
مهرداد حسن بيگي1 me.hasanbaygi@gmail.com, سعيد فاميل دردشت2 sfdardashty13844@yahoo.com
Publikováno v:
Studies in Comparative Religion & Mysticism. 2024, Vol. 8 Issue 1, p25-50. 26p.
Publikováno v:
In Journal of Molecular Structure 5 March 2019 1179:719-724
Next-generation multiple access (NGMA) serves as an umbrella term for transmission schemes distinct from conventional orthogonal methods. A key candidate of NGMA, non-orthogonal multiple access (NOMA), emerges as a solution to enhance connectivity by
Externí odkaz:
http://arxiv.org/abs/2410.00239
Autor:
Malekian, Reihaneh, Maleki, Arian
We study the problem of estimating a function in the presence of both speckle and additive noises. Although additive noise has been thoroughly explored in nonparametric estimation, speckle noise, prevalent in applications such as synthetic aperture r
Externí odkaz:
http://arxiv.org/abs/2409.16585
This paper presents and analyzes a reconfigurable intelligent surface (RIS)-based high-altitude platform (HAP) network. Stochastic geometry is used to model the arbitrary locations of the HAPs and RISs as a homogenous Poisson point process. Consideri
Externí odkaz:
http://arxiv.org/abs/2409.10040
Continuous-time series is essential for different modern application areas, e.g. healthcare, automobile, energy, finance, Internet of things (IoT) and other related areas. Different application needs to process as well as analyse a massive amount of
Externí odkaz:
http://arxiv.org/abs/2409.09106
Autor:
Ghaffarzadeh-Esfahani, Mohammadreza, Ghaffarzadeh-Esfahani, Mahdi, Salahi-Niri, Arian, Toreyhi, Hossein, Atf, Zahra, Mohsenzadeh-Kermani, Amirali, Sarikhani, Mahshad, Tajabadi, Zohreh, Shojaeian, Fatemeh, Bagheri, Mohammad Hassan, Feyzi, Aydin, Tarighatpayma, Mohammadamin, Gazmeh, Narges, Heydari, Fateme, Afshar, Hossein, Allahgholipour, Amirreza, Alimardani, Farid, Salehi, Ameneh, Asadimanesh, Naghmeh, Khalafi, Mohammad Amin, Shabanipour, Hadis, Moradi, Ali, Zadeh, Sajjad Hossein, Yazdani, Omid, Esbati, Romina, Maleki, Moozhan, Nasr, Danial Samiei, Soheili, Amirali, Majlesi, Hossein, Shahsavan, Saba, Soheilipour, Alireza, Goudarzi, Nooshin, Taherifard, Erfan, Hatamabadi, Hamidreza, Samaan, Jamil S, Savage, Thomas, Sakhuja, Ankit, Soroush, Ali, Nadkarni, Girish, Darazam, Ilad Alavi, Pourhoseingholi, Mohamad Amin, Safavi-Naini, Seyed Amir Ahmad
Background: This study aimed to evaluate and compare the performance of classical machine learning models (CMLs) and large language models (LLMs) in predicting mortality associated with COVID-19 by utilizing a high-dimensional tabular dataset. Materi
Externí odkaz:
http://arxiv.org/abs/2409.02136
We consider the jump-diffusion risky asset model and study its conditional prediction laws. Next, we explain the conditional least square hedging strategy and calculate its closed form for the jump-diffusion model, considering the Black-Scholes frame
Externí odkaz:
http://arxiv.org/abs/2408.10785
Autor:
Maleki, Morteza, Ghahari, SeyedAli
This study investigates the impact of significant health events on pharmaceutical stock performance, employing a comprehensive analysis incorporating macroeconomic and market indicators. Using Ordinary Least Squares (OLS) regression, we evaluate the
Externí odkaz:
http://arxiv.org/abs/2408.01883