Zobrazeno 1 - 10
of 107 992
pro vyhledávání: '"A. A. Hosseini"'
Autor:
T. Kh. Kahnamouei, A. A. Hosseini
Publikováno v:
Вестник Кемеровского государственного университета, Vol 23, Iss 4, Pp 1096-1103 (2022)
In Russian and Persian, the category of indirect evidentiality points out to some unreliable source of information. The category of admirativity expresses unexpected and new information gained by the speaker. Such interrogative sentences convey combi
Externí odkaz:
https://doaj.org/article/60e55b20471b4fb4a7f84d9b8d5d60a6
Autor:
Holighi, Amirhossein Kheiri, Hajibekandeh, Seyed Sobhan Hosseini, Behbahani, Amirhossein Gholizadeh, Khatibi, Kian, Shabestari, Saina Najafi, Ghoreishi, Ghazal, Dadnavi, Aria, Sadeghi, Saba, Makhsous, Shahriar Karimi, Jamshidi, Matin, Abadi, Mandana Shabanzadeh Nasrolah, Moaiyeri, Mohammad Hossein
This paper presents Auriga Robotics' autonomous vehicle, developed at Shahid Beheshti University's Robotics and Intelligent Automation Lab, as part of the team's entry for the 2024 RoboCup IranOpen competition. The vehicle is a 1:10 scale car equippe
Externí odkaz:
http://arxiv.org/abs/2410.11746
Decentralized exchanges (DEXs) are pivotal applications in the Decentralized finance (DeFi) landscape, aiming to facilitate trustless cryptocurrency trading by relying on smart contracts and blockchain networks. The developments in the DEXs sector be
Externí odkaz:
http://arxiv.org/abs/2410.10162
We aim to discern scenarios of structural evolution of intermediate to high-mass star-forming galaxies (SFGs) since cosmic noon by comparing their stellar mass profiles with present-day stellar masses of $\log(M_{\ast,0}/M_{\odot})=10.3-11$. We addre
Externí odkaz:
http://arxiv.org/abs/2410.05867
Autor:
Ghaznavi, Mahdi, Asadollahzadeh, Hesam, Noohdani, Fahimeh Hosseini, Tabar, Soroush Vafaie, Hasani, Hosein, Alvanagh, Taha Akbari, Rohban, Mohammad Hossein, Baghshah, Mahdieh Soleymani
Classifiers trained with Empirical Risk Minimization (ERM) tend to rely on attributes that have high spurious correlation with the target. This can degrade the performance on underrepresented (or 'minority') groups that lack these attributes, posing
Externí odkaz:
http://arxiv.org/abs/2410.05345
In $f(T)$ gravity, the theory modifies the gravitational action by introducing a function of the torsion scalar $T$. This approach allows for a different treatment of gravity than general relativity, particularly in cosmological contexts. Dynamical s
Externí odkaz:
http://arxiv.org/abs/2410.04062
Autor:
Chagahi, Mehdi Hosseini, Delfan, Niloufar, Dashtaki, Saeed Mohammadi, Moshiri, Behzad, Piran, Md. Jalil
Detecting credit card fraud (CCF) holds significant importance due to its role in safeguarding consumers from unauthorized transactions that have the potential to result in financial detriment and negative impacts on their credit rating. It aids fina
Externí odkaz:
http://arxiv.org/abs/2410.09069
One of the most important challenges in the financial and cryptocurrency field is accurately predicting cryptocurrency price trends. Leveraging artificial intelligence (AI) is beneficial in addressing this challenge. Cryptocurrency markets, marked by
Externí odkaz:
http://arxiv.org/abs/2409.18895
Autor:
Ghasemi, Seraj, Hosseini, Hamed, Koosheshi, MohammadHossein, Masouleh, Mehdi Tale, Kalhor, Ahmad
With robots increasingly collaborating with humans in everyday tasks, it is important to take steps toward robotic systems capable of understanding the environment. This work focuses on scene understanding to detect pick and place tasks given initial
Externí odkaz:
http://arxiv.org/abs/2409.17720
One of the growing trends in machine learning is the use of data generation techniques, since the performance of machine learning models is dependent on the quantity of the training dataset. However, in many medical applications, collecting large dat
Externí odkaz:
http://arxiv.org/abs/2409.17685