F
Fathi E. Abd El-Samie
Researcher at Menoufia University
Publications - 77
Citations - 1393
Fathi E. Abd El-Samie is an academic researcher from Menoufia University. The author has contributed to research in topics: Encryption & Discrete wavelet transform. The author has an hindex of 12, co-authored 77 publications receiving 738 citations. Previous affiliations of Fathi E. Abd El-Samie include King Abdulaziz City for Science and Technology & Cairo University.
Papers
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Journal ArticleDOI
A review of channel selection algorithms for EEG signal processing
Turky N. Alotaiby,Fathi E. Abd El-Samie,Fathi E. Abd El-Samie,Saleh A. Alshebeili,Ishtiaq Ahmad +4 more
TL;DR: The recent developments in the field of EEG channel selection methods are surveyed along with their applications and these methods are classified according to the evaluation approach.
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EEG seizure detection and prediction algorithms: a survey
TL;DR: This paper covers some of the state-of-the-art seizure detection and prediction algorithms and provides comparison between these algorithms and concludes with future research directions and open problems in this topic.
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Efficient deep learning approach for augmented detection of Coronavirus disease.
Ahmed Sedik,Mohamed Hammad,Fathi E. Abd El-Samie,Brij B. Gupta,Brij B. Gupta,Ahmed A. Abd El-Latif +5 more
TL;DR: In this article, the authors proposed a deep learning based detection system for the detection of COVID-19 using convolutional neural network (CNN) and convolution long short-term memory (ConvLSTM).
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Compressive sensing applied to radar systems: an overview
TL;DR: This work attempts to present an overview of compressive sensing aspects of CS, particularly when CS is applied in monostatic pulse-Doppler and MIMO type of radars.
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Robust medical image encryption based on DNA-chaos cryptosystem for secure telemedicine and healthcare applications
Walid El-Shafai,Walid El-Shafai,Walid El-Shafai,Fatma Khallaf,Fatma Khallaf,El-Sayed M. El-Rabaie,Fathi E. Abd El-Samie,Fathi E. Abd El-Samie +7 more
TL;DR: An efficient cryptosystem for medical image security based on exploiting the advantages of the de-oxyribo nucleic acid (DNA) rules and chaos maps is presented, which has a high security with an acceptable processing time and can resist various kinds of attacks.