Zobrazeno 1 - 10
of 1 454
pro vyhledávání: '"Menhaj, A."'
The visual cortex is a vital part of the brain, responsible for hierarchically identifying objects. Understanding the role of the lateral geniculate nucleus (LGN) as a prior region of the visual cortex is crucial when processing visual information in
Externí odkaz:
http://arxiv.org/abs/2409.13622
Publikováno v:
Clinical eHealth, Vol 7, Iss , Pp 106-119 (2024)
Brain tumors, resulting from uncontrolled and rapid cell growth, pose significant health risks if not treated early. Despite numerous advancements, accurate segmentation and classification remain challenging. This study leverages machine learning (ML
Externí odkaz:
https://doaj.org/article/7ade14d9b80e457db9b7bf56df40d5b8
Publikováno v:
AUT Journal of Mathematics and Computing, Vol 6, Iss 1, Pp 41-53 (2025)
In recent years, the navigation of mobile robots has been of great interest. One of the important challenges in the navigation of mobile robots is the obstacle avoidance problem so that the robots do not collide with each other and obstacles, during
Externí odkaz:
https://doaj.org/article/eeb4dcbe3bfc4038b684384d708dba62
Autor:
Ahadzadeh, Behrouz, Abdar, Moloud, Safara, Fatemeh, Khosravi, Abbas, Menhaj, Mohammad Bagher, Suganthan, Ponnuthurai Nagaratnam
In this paper, a new feature selection algorithm, called SFE (Simple, Fast, and Efficient), is proposed for high-dimensional datasets. The SFE algorithm performs its search process using a search agent and two operators: non-selection and selection.
Externí odkaz:
http://arxiv.org/abs/2303.10182
Autor:
Seyed Matin Malakouti, Farrokh Karimi, Hamid Abdollahi, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar, Mohammad Hassan Moradi
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 10, Iss , Pp 100881- (2024)
Due to the shortage of fossil fuels in many countries, power plants that rely on fossil fuels will be phased out in favor of wind turbines as the primary source of energy generation. These fossil fuel plants wreak havoc on the natural world, making h
Externí odkaz:
https://doaj.org/article/11f6edd67f6f459ab5296191cde39660
Autor:
Mirani, Imran Khan, Tianhua, Chen, Khan, Malak Abid Ali, Aamir, Syed Muhammad, Menhaj, Waseef
Existing computer vision and object detection methods strongly rely on neural networks and deep learning. This active research area is used for applications such as autonomous driving, aerial photography, protection, and monitoring. Futuristic object
Externí odkaz:
http://arxiv.org/abs/2210.09618
Autor:
Shu Wu, Jindou Chen, Xueli Nie, Yong Wang, Xiancun Zhou, Linlin Lu, Wei Peng, Yao Nie, Waseef Menhaj
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Federated learning is a distributed machine learning paradigm where the goal is to collaboratively train a high quality global model while private training data remains local over distributed clients. However, heterogenous data distribution
Externí odkaz:
https://doaj.org/article/7b0a50966de24ef792be529b6802d567
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 7, Pp 846-864 (2024)
Abstract In this paper, a novel nonlinear unknown input observer is proposed in order to fault estimation for nonlinear uncertain systems with time delays. By the estimation of the faults, the features are detected such as shape, size occurrence time
Externí odkaz:
https://doaj.org/article/a1c6bca627f04a0e8968a14190764401
Publikováno v:
In Clinical eHealth December 2024 7:106-119
Autor:
Mohsenpourian, Moussa, Suratgar, Amir Abolfazl, Ali Talebi, Heidar, Arzani, Mahsa, Moghadasi, Abdorreza Naser, Malakouti, Seyed Matin, Bagher Menhaj, Mohammad
Publikováno v:
In Neuroscience Informatics March 2025 5(1)