Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Mahmoud I. Abdalla"'
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 10, Pp 102211- (2023)
Both Internet of Things (IoT) and Software Defined Networks (SDN) have a major role in increasing efficiency and productivity for smart cities. Despite that, they face potential security threats that need to be reduced. A new Intrusion Detection Syst
Externí odkaz:
https://doaj.org/article/6f98ec696d124e23a997067f2d6f5fb5
Autor:
Nada Ahmed Ezz-Eldien, Heba M. Abdel-Atty, Mahmoud I. Abdalla, Korany R. Mahmoud, Mohamed F. Abdelkader
Publikováno v:
PLoS ONE, Vol 18, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/a6daf4e29c7d4159abe42a572e6881b0
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 30:17-27
This paper studies the transmission of watermarked images on wireless SC-FDMA systems. Different watermarking schemes are provided in this frame work for security and authentication purposes.SC-FDMA is accomplished for broadband wireless communicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::806f65d1d0d289775f88273bb47a1dc2
https://doi.org/10.21608/mjeer.2021.193082
https://doi.org/10.21608/mjeer.2021.193082
Autor:
Menna S. Abd El-galil, Naglaa F. Soliman, Mahmoud I. Abdalla, Mohamed A. Elaskily, Fathi E. Abd El-Samie
Publikováno v:
International Journal of Electronics Letters. 9:517-523
The basic idea of this letter is concerned with the large Peak-to-Average Power Ratio (PAPR) problem in multi-carrier Under-Water Acoustic (UWA) communication systems that implement Orthogonal Freq...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c245068368a40c43d0dd742da26db9a
https://doi.org/10.1080/21681724.2020.1819436
https://doi.org/10.1080/21681724.2020.1819436
Publikováno v:
Multimedia Tools and Applications. 79:30735-30768
With the recent advances in the deep learning field, the use of deep convolutional neural networks (DCNNs) in biomedical image processing becomes very encouraging. This paper presents a new classification model for breast cancer masses based on DCNNs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e5194e286fa23c91aeb5e4ee399ba14
https://doi.org/10.1007/s11042-020-09518-w
https://doi.org/10.1007/s11042-020-09518-w
Publikováno v:
International Journal of Speech Technology. 22:649-696
This paper presents an efficient framework for performance enhancement of under-water acoustic communication systems based on pre-equalization and peak-to-average power ratio (PAPR) reduction. The PAPR reduction reduces the peak power of the acoustic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::737ee1a20b3367920fb7f1bf88a27f31
https://doi.org/10.1007/s10772-019-09600-1
https://doi.org/10.1007/s10772-019-09600-1
Publikováno v:
Multimedia Tools and Applications. 78:20239-20262
Detection of breast cancer masses in mammogram images is an essential step in any computer-aided system for breast cancer diagnosis. In this paper, we propose a novel technique for breast cancer masses detection in mammograms based on the feature mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3173059a626c3519b2d4f79c016629e1
https://doi.org/10.1007/s11042-019-7358-1
https://doi.org/10.1007/s11042-019-7358-1
Publikováno v:
Wireless Personal Communications. 103:2757-2774
An efficient technique to compensate for the channel detrimental effects in ZigBee systems is introduced in this paper. The proposed methodology relies on adding a recursive least square (RLS) based adaptive linear equalizer (ALE) to the physical lay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be542a2cb8e8c63f8657685cebb10846
https://doi.org/10.1007/s11277-018-5961-5
https://doi.org/10.1007/s11277-018-5961-5
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 27:71-88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebbd29dc30ee3653cbde9b01c21aeb2c
https://doi.org/10.21608/mjeer.2018.64392
https://doi.org/10.21608/mjeer.2018.64392
Publikováno v:
International Journal of Speech Technology. 20:977-1004
Biometric systems based on speech features constitute a new and evolving trend in security. This paper is concerned with speaker identification systems. It studies traditional speaker identification systems based on cepstral analysis and neural class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdeb92c24269fd6e98f810c1fdc0ef12
https://doi.org/10.1007/s10772-017-9435-z
https://doi.org/10.1007/s10772-017-9435-z