Zobrazeno 1 - 10
of 17 092
pro vyhledávání: '"MOHAMED, AHMED"'
Student disengagement in online learning has become a critical challenge, particularly post-pandemic. This review explores deep learning techniques used to detect disengagement, emphasizing computer vision and affective computing as effective approac
Externí odkaz:
http://arxiv.org/abs/2411.10464
Autor:
Hesham, Momen, Essam, Mohamed, Bahaa, Mohamed, Mohamed, Ahmed, Gomaa, Mohamed, Hany, Mena, Elsersy, Wael
As these attacks become more and more difficult to see, the need for the great hi-tech models that detect them is undeniable. This paper examines and compares various machine learning as well as deep learning models to choose the most suitable ones f
Externí odkaz:
http://arxiv.org/abs/2407.06014
Autor:
Jeong, Seung Gyo, Cho, Seong Won, Song, Sehwan, Oh, Jin Young, Jeong, Do Gyeom, Han, Gyeongtak, Jeong, Hu Young, Mohamed, Ahmed Yousef, Noh, Woo-suk, Park, Sungkyun, Lee, Jong Seok, Lee, Suyoun, Kim, Young-Min, Cho, Deok-Yong, Choi, Woo Seok
Publikováno v:
published 2024
Magnetic anisotropy in atomically thin correlated heterostructures is essential for exploring quantum magnetic phases for next-generation spintronics. Whereas previous studies have mostly focused on van der Waals systems, here, we investigate the imp
Externí odkaz:
http://arxiv.org/abs/2407.03231
Reservoir computing is a brain-inspired machine learning framework for processing temporal data by mapping inputs into high-dimensional spaces. Physical reservoir computers (PRCs) leverage native fading memory and nonlinearity in physical substrates,
Externí odkaz:
http://arxiv.org/abs/2405.09545
Autor:
Mohamed, Ahmed P., Lee, Byunghyun, Zhang, Yaguang, Hollingsworth, Max, Anderson, C. Robert, Krogmeier, James V., Love, David J.
Machine learning (ML) offers a promising solution to pathloss prediction. However, its effectiveness can be degraded by the limited availability of data. To alleviate these challenges, this paper introduces a novel simulation-enhanced data augmentati
Externí odkaz:
http://arxiv.org/abs/2402.01969
Autor:
Jameel, Abu Shafin Mohammad Mahdee, Mohamed, Ahmed P., Yi, Jinho, Gamal, Aly El, Malhotra, Akshay
Deep learning based automatic modulation classification (AMC) has received significant attention owing to its potential applications in both military and civilian use cases. Recently, data-driven subsampling techniques have been utilized to overcome
Externí odkaz:
http://arxiv.org/abs/2401.03488
Autor:
Mohamed, Ahmed
Carbon steel rebars embedded in concrete improve the durability and physical performance of concrete structures by increasing its tensile strength. The rebar is initially protected against corrosion due to the formation of a passive film promoted by