Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Ahmed M. Attiya"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In this paper, a simple and efficient approach is presented to classify different power materials based on a one port microwave sensor in X-band. This classification focuses on powder materials, unlike prior studies that focused on liquids (
Externí odkaz:
https://doaj.org/article/d3a1ecd8a03b4aec9bbc6fd1eae7e40f
Autor:
Ahmed M. Attiya, Eman M. Eldesouki
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This paper presents simple numerical solutions for electromagnetic plane waves in spatially homogenous time varying medium. The solution is based on converting the resulting second order differential equation into two combined ordinary diffe
Externí odkaz:
https://doaj.org/article/53b15dacfc2d400e8ef294ff781593e4
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract The juice extraction process plays a crucial role in the sugar production industry, but it often faces challenges due to time delays that can negatively impact efficiency and quality. This paper introduces a Time Delay Compensation (TDC) tec
Externí odkaz:
https://doaj.org/article/94081a2212fd4069b13cb5e934aff8ce
Autor:
Shaza M. El-Nady, Ahmed M. Attiya
Publikováno v:
IEEE Access, Vol 10, Pp 20465-20472 (2022)
This paper presents a wideband eight-port multiple-input-multiple-output (MIMO) circularly polarized antenna system for mm-wave applications. The proposed antenna element is an L-shape microstrip line with a series fishtail stubs on one side. The spa
Externí odkaz:
https://doaj.org/article/22f9fa1764434bbf80746b6378706b22
Publikováno v:
IEEE Access, Vol 10, Pp 64316-64324 (2022)
This paper presents the analysis and the design of a polarization detector for sub–6 GHz 5G applications. The proposed design operates in the frequency range from 2 to 4 GHz to cover the 5G NR frequency bands n40/n41/n78. The proposed polarization
Externí odkaz:
https://doaj.org/article/72d02149949b460ea5690d1becbfbce7
Publikováno v:
Sensors, Vol 22, Iss 3, p 1166 (2022)
This paper presents the analysis and design of an X-band reflectarray. The proposed antenna can be used for a medium Earth orbit (MEO) remote sensing satellite system in the 8.5 GHz band. To obtain a nearly constant response along the coverage area o
Externí odkaz:
https://doaj.org/article/524384bb6c8d45908187c204ae3d5100
Autor:
Tarek Sallam, Ahmed M. Attiya
Publikováno v:
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 41:1604-1617
Purpose The purpose of this paper is to build a neural network (NN) inverse model for the multi-band unequal-power Wilkinson power divider (WPD). Because closed-form expressions of the inverse input–output relationship do not exist, the NN becomes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eac06dce372c6c1c1d803b3839dca28
https://doi.org/10.1108/compel-12-2021-0501
https://doi.org/10.1108/compel-12-2021-0501
Autor:
Shimaa A. M. Soliman, Eman M. Eldesouki, Ahmed M. Attiya, Alois P. Freundorfer, Yahia M. M. Antar
Publikováno v:
2023 International Microwave and Antenna Symposium (IMAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af220091d2296527f401eb5d9a6060e
https://doi.org/10.1109/imas55807.2023.10066894
https://doi.org/10.1109/imas55807.2023.10066894
A deep-learning-based model to automate the design of dual-band coupled-line trans- directional (CL-TRD) coupler can greatly improve upon the current techniques that rely on complicated analysis. In this paper, we propose a convolutional neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea7d6de2fb68bf87da5e6b39cfbbc89d
https://doi.org/10.21203/rs.3.rs-2396179/v1
https://doi.org/10.21203/rs.3.rs-2396179/v1
Autor:
Tarek Sallam, Ahmed M. Attiya
Publikováno v:
The Applied Computational Electromagnetics Society Journal (ACES).
Tuning a microwave filter is a challenging problem due to its complexity. Extracting coupling matrix from given S-parameters is essential for ?lter tuning and design. In this paper, a deep-learning-based neural network namely, a convolutional neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82e25922feea41cbd7d19be446d3424a
https://doi.org/10.13052/2022.aces.j.370707
https://doi.org/10.13052/2022.aces.j.370707