Zobrazeno 1 - 10
of 25 949
pro vyhledávání: '"MOHAMED, AHMED"'
Autor:
Farah, Mohamed Ahmed
This study, the Effect of customer satisfaction on profitability Hargeisa Somaliland, was undertaken to find out the role of small business in Somaliland and its impact on the economic growth of Somaliland. Small Enterprises are accepted globally as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::224893a9090ced8af08436187fe1ff7e
Autor:
Mumin, Mohamed Ahmed
This thesis is based on the viewpoint that no security countermeasure is perfect, each an every one requires some trade-offs to the end user, whether it is limited usability or inconvenience, but as the result of unintelligently implemented security
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12a082a799779761976d7c03cc8186c9
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
Autor:
Daaif, Lahcen
Publikováno v:
Studia Islamica, 2020 Jan 01. 115(2/3), 167-177.
Externí odkaz:
https://www.jstor.org/stable/27077630
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:
Romano, R.
Publikováno v:
Il Foro Italiano, 2012 Jun 01. 135(6), 1883/1884-1889/1890.
Externí odkaz:
https://www.jstor.org/stable/26638852
Autor:
Hussey, Jane
Publikováno v:
BMJ: British Medical Journal, 2004 Nov . 329(7475), 1188-1188.
Externí odkaz:
https://www.jstor.org/stable/25469444
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