Zobrazeno 1 - 10
of 715
pro vyhledávání: '"Mosallanezhad, A."'
Aims. We explore machine learning techniques to forecast star formation rate, stellar mass, and metallicity across galaxies with redshifts ranging from 0.01 to 0.3. Methods. Leveraging CatBoost and deep learning architectures, we utilize multiband op
Externí odkaz:
http://arxiv.org/abs/2405.15566
Autor:
Zeraatgari, Fatemeh Zahra, Hafezianzade, Fatemeh, Zhang, Yanxia, Mei, Liquan, Ayubinia, Ashraf, Mosallanezhad, Amin, Zhang, Jingyi
This paper explores the application of machine learning methods for classifying astronomical sources using photometric data, including normal and emission line galaxies (ELGs; starforming, starburst, AGN, broad line), quasars, and stars. We utilized
Externí odkaz:
http://arxiv.org/abs/2311.02951
Publikováno v:
ASONAM 2024
The abundance of social media data has presented opportunities for accurately determining public and group-specific stances around policy proposals or controversial topics. In contrast with sentiment analysis which focuses on identifying prevailing e
Externí odkaz:
http://arxiv.org/abs/2309.15176
Social media platforms provide a rich environment for analyzing user behavior. Recently, deep learning-based methods have been a mainstream approach for social media analysis models involving complex patterns. However, these methods are susceptible t
Externí odkaz:
http://arxiv.org/abs/2308.02011
Autor:
Mitra, Samik, Ghoreyshi, Sayyedeh Masoumeh, Mosallanezhad, Amin, Abbassi, Shahram, Das, Santabrata
We examine the effect of thermal conduction on the low-angular momentum hot accretion flow (HAF) around non-rotating black holes accreting mass at very low rate. While doing so, we adopt the conductive heat flux in the saturated form, and solve the s
Externí odkaz:
http://arxiv.org/abs/2306.02453
Autor:
Mosallanezhad, Amin, Bu, De-Fu, Cemeljic, Miljenko, Zeraatgari, Fatemeh Zahra, Hai, Yang, Mei, Liquan
Previous numerical simulations have shown that strong winds can be produced in the hot accretion flows around black holes. Most of those studies focus only on the region close to the central black hole, therefore it is unclear whether the wind produc
Externí odkaz:
http://arxiv.org/abs/2209.09461
We study the global solutions of slowly rotating accretion flows around the supermassive black hole in the nucleus of an elliptical galaxy. The velocity of accreted gas surrounding the black hole is initially subsonic and then falls onto the black ho
Externí odkaz:
http://arxiv.org/abs/2208.13369
With the onset of the COVID-19 pandemic, news outlets and social media have become central tools for disseminating and consuming information. Because of their ease of access, users seek COVID-19-related information from online social media (i.e., onl
Externí odkaz:
http://arxiv.org/abs/2208.03907
Online Social Networks (OSNs) facilitate access to a variety of data allowing researchers to analyze users' behavior and develop user behavioral analysis models. These models rely heavily on the observed data which is usually biased due to the partic
Externí odkaz:
http://arxiv.org/abs/2208.03796
Autor:
Ghazal Hashemi Zenooz, PhD, Afshin Taheriazam, MD, Zahra Mosallanezhad, PhD, Charles Philip Gabel, PhD, Markus Melloh, MD, PhD, Hamid Reza Mokhtarinia, PhD
Publikováno v:
Arthroplasty Today, Vol 27, Iss , Pp 101384- (2024)
Background: The Harris hip score (HHS), a self-administered questionnaire, is widely used to evaluate hip pathology affecting health-related quality of life and physical function. This study’s purpose was HHS translation to Persian (HHS-Pr) and val
Externí odkaz:
https://doaj.org/article/3d95696674684b2d8c778b40d994e843