Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Abdelrahman Tarek"'
Publikováno v:
The Egyptian Journal of Otolaryngology, Vol 40, Iss 1, Pp 1-11 (2024)
Abstract Background Laryngeal cancer is a prevalent malignancy in the head and neck region, often diagnosed at an advanced stage. The role of thyroidectomy in managing advanced laryngeal squamous cell carcinoma (LSCC) remains controversial due to inc
Externí odkaz:
https://doaj.org/article/28c5ae90a7274a5ead09f1624ca3bf42
Autor:
Dimitris M. Manias, Ahmad Mohammad Saber, Mohammed I. Radaideh, Abdelrahman Tarek Gaber, Michail Maniatakos, Hatem Zeineldin, Davor Svetinovic, Ehab F. El-Saadany
Publikováno v:
IEEE Access, Vol 12, Pp 161329-161356 (2024)
The increasing focus on cyber-physical security in Smart Grids (SGs) has catalyzed a surge in research over recent years. This paper comprehensively reviews SG cyber-physical security advancements, diverging from conventional studies that concentrate
Externí odkaz:
https://doaj.org/article/80560c581b744687858ac9440c11abe4
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 165-172 (2022)
Renewable energy is critical for attaining long-term development. The Egyptian government, in collaboration with the business sector, is making significant strides toward the expansion of renewable energy production. This research includes a review o
Externí odkaz:
https://doaj.org/article/7469021bc4b3480c98fe020f2fcc975f
Autor:
Tarek Turk, Mohamed Tamer Elhady, Sherwet Rashed, Mariam Abdelkhalek, Somia Ahmed Nasef, Ashraf Mohamed Khallaf, Abdelrahman Tarek Mohammed, Andrew Wassef Attia, Purushottam Adhikari, Mohamed Alsabbahi Amin, Kenji Hirayama, Nguyen Tien Huy
Publikováno v:
PLoS ONE, Vol 13, Iss 6, p e0194239 (2018)
BACKGROUND:Several influential aspects of survey research have been under-investigated and there is a lack of guidance on reporting survey studies, especially web-based projects. In this review, we aim to investigate the reporting practices and quali
Externí odkaz:
https://doaj.org/article/a201a90f054e4308b1a16f209d1c1b9e
We present a compilation flow for the generation of CNN inference accelerators on FPGAs. The flow translates a frozen model into OpenCL kernels with the TVM compiler and uses the Intel OpenCL SDK to compile to an FPGA bitstream. We improve the qualit
Externí odkaz:
http://arxiv.org/abs/2203.04015
Autor:
Zhang, Lifu, Abdelrahman, Tarek S.
The growth in the complexity of Convolutional Neural Networks (CNNs) is increasing interest in partitioning a network across multiple accelerators during training and pipelining the backpropagation computations over the accelerators. Existing approac
Externí odkaz:
http://arxiv.org/abs/1912.12675
Publikováno v:
Elsevier Neurocomputing, 2019
Modern Convolutional Neural Networks (CNNs) are complex, encompassing millions of parameters. Their deployment exerts computational, storage and energy demands, particularly on embedded platforms. Existing approaches to prune or sparsify CNNs require
Externí odkaz:
http://arxiv.org/abs/1811.04199
Publikováno v:
Egyptian Heart Journal; 10/8/2024, Vol. 76 Issue 1, p1-9, 9p
Publikováno v:
Egyptian Journal of Otolaryngology; 10/2/2024, Vol. 40 Issue 1, p1-11, 11p
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