Zobrazeno 1 - 10
of 101
pro vyhledávání: '"F. E. Abd El-Samie"'
Autor:
Walid El-Shafai, El-Sayed M. El-Rabaie, Naglaa F. Soliman, F. E. Abd El-Samie, Anas M. Ali, Abeer D. Algarni
Publikováno v:
Computers, Materials & Continua. 70:1141-1157
In developing countries, medical diagnosis is expensive and time consuming. Hence, automatic diagnosis can be a good cheap alternative. This task can be performed with artificial intelligence tools such as deep Convolutional Neural Networks (CNNs). T
Publikováno v:
Intelligent Automation & Soft Computing. 31:1561-1575
Automated diagnosis based on medical images is a very promising trend in modern healthcare services. For the task of automated diagnosis, there should be flexibility to deal with an enormous amount of data represented in the form of medical images. I
Publikováno v:
Computers, Materials & Continua. 70:4393-4410
COVID-19 remains to proliferate precipitously in the world. It has significantly influenced public health, the world economy, and the persons’ lives. Hence, there is a need to speed up the diagnosis and precautions to deal with COVID-19 patients. W
Autor:
Osama Zahran, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, M. Abd-Elnaby, Walid El-Shafai, Amira A. Mahmoud, F. E. Abd El-Samie, Taha E. Taha
Publikováno v:
Computers, Materials & Continua. 70:4373-4391
Coronavirus (COVID-19) infection was initially acknowledged as a global pandemic in Wuhan in China. World Health Organization (WHO) stated that the COVID-19 is an epidemic that causes a 3.4% death rate. Chest X-Ray (CXR) and Computerized Tomography (
Autor:
E. M. El-Bakary, Walid El-Shafai, S. El-Rabaie, O. Zahran, M. El-Halawany, F. E. Abd El-Samie
Publikováno v:
Journal of Optics.
Autor:
Naglaa F. Soliman, Abeer D. Algarni, Ghada M. El-Banby, Walid El-Shafai, Ashraf A. M. Khalaf, F. E. Abd El-Samie, Noha A. El-Hag
Publikováno v:
Computers, Materials & Continua. 69:1323-1341
Corona Virus Disease-2019 (COVID-19) continues to spread rapidly in the world. It has dramatically affected daily lives, public health, and the world economy. This paper presents a segmentation and classification framework of COVID-19 images based on
Autor:
ahmed selim, Taha E. Taha, Adel El-Fishawy, O. Zahran, M. M. Hadhoud, M. I. Dessouky, F. E. Abd El-Samie, Noha A. El-Hag
This paper proposes a simplified fractal image compression algorithm which is implemented on a block by block basis. This algorithm achieves a compression ratio of up to 1:10 with a peak signal to noise ratio (PSNR) as high as 35dB. The idea of the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffbb71240d8f041bee6b5281b824ac6b
https://doi.org/10.21203/rs.3.rs-1633883/v1
https://doi.org/10.21203/rs.3.rs-1633883/v1
Publikováno v:
Multimedia Tools and Applications. 79:30813-30838
This paper suggests novel two proposed cancellable biometric realization techniques recognition and template protection. In this paper, the Homomorphic Key (HK) encoding algorithm is utilized for cancelable face system. In the first suggested scheme,
Autor:
Huda Ibrahim Ashiba, Abd El-Rahman Farouk, El_Sayed M. El_Rabaie, M. I. Dessouky, F. E. Abd El-Samie, Adel S. El-Fishawy, Ghada M. El-Banby
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 29:70-74
This paper presents two proposed approaches for digital restoration of corneal images. The first algorithm is based on Wiener Restoration approach. The second algorithm depends on regularized image restoration. As corneal images are usually acquired
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 29:15-21
In this paper, we introduce a study for the performance of intensity modulation (IM) techniques over gamma-gamma (GG) distributed free-space optical (FSO) channels. We derived closed form expressions for the average bit-error rate (BER) of thermal no