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Ahmed Sedik
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- affiliation: Kafrelsheikh University, Egypt
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2020 – today
- 2023
- [j23]Shaymaa E. Sorour
, Amr A. Abohany
An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision. IEEE Access 11: 137769-137778 (2023) - [j22]Basma Abd El-Rahiem, Ahmed Sedik
An efficient deep learning model for classification of thermal face images. J. Enterp. Inf. Manag. 36(3): 706-717 (2023) - [j21]Mohamed A. Elaskily
A survey on traditional and deep learning copy move forgery detection (CMFD) techniques. Multim. Tools Appl. 82(22): 34409-34435 (2023) - [j20]Nora El-Rashidy, Ahmed Sedik
An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. Neural Comput. Appl. 35(14): 10695-10716 (2023) - [j19]Mohamed Marey
SFBC Recognition over Orthogonal Frequency Division Multiplexing Schemes in the Presence of Inphase and Quadrature Phase Discrepancies for Cognitive Radio Applications. Sensors 23(11): 5267 (2023) - [j18]Ahmed Sedik, Mohamed Marey
An Adaptive Fatigue Detection System Based on 3D CNNs and Ensemble Models. Symmetry 15(6): 1274 (2023) - [j17]Ahmed Sedik
A Cancelable Biometric System Based on Deep Style Transfer and Symmetry Check for Double-Phase User Authentication. Symmetry 15(7): 1426 (2023) - [j16]Mostafa Ebied
A Proposed Deep-Learning-Based Framework for Medical Image Communication, Storage and Diagnosis. Wirel. Pers. Commun. 131(4): 2331-2369 (2023) - 2022
- [j15]Riad Alharbey
Fatigue State Detection for Tired Persons in Presence of Driving Periods. IEEE Access 10: 79403-79418 (2022) - [j14]Mohamed Hammad
Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications. Comput. Electr. Eng. 100: 108011 (2022) - [j13]Ali I. Siam
Deploying Machine Learning Techniques for Human Emotion Detection. Comput. Intell. Neurosci. 2022: 8032673:1-8032673:16 (2022) - [j12]Ahmed Sedik
Deep fake news detection system based on concatenated and recurrent modalities. Expert Syst. Appl. 208: 117953 (2022) - [j11]Walid El Shafai
Convolutional neural network model for spectrum sensing in cognitive radio systems. Int. J. Commun. Syst. 35(6) (2022) - [j10]Basma Abd El-Rahiem, Mohamed Amin
An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream. J. Ambient Intell. Humaniz. Comput. 13(4): 2177-2189 (2022) - [j9]Ahmed Sedik
An efficient cybersecurity framework for facial video forensics detection based on multimodal deep learning. Neural Comput. Appl. 34(2): 1251-1268 (2022) - [j8]Ahmed Sedik
Efficient deep learning approach for augmented detection of Coronavirus disease. Neural Comput. Appl. 34(14): 11423-11440 (2022) - 2021
- [j7]Ahmed Sedik
Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities. IEEE Access 9: 94780-94788 (2021) - [j6]Ali I. Siam
Biosignal classification for human identification based on convolutional neural networks. Int. J. Commun. Syst. 34(7) (2021) - [j5]Samia Abd El-Moneim, Ahmed Sedik
Text-dependent and text-independent speaker recognition of reverberant speech based on CNN. Int. J. Speech Technol. 24(4): 993-1006 (2021) - [j4]Mohamed A. Elaskily, Monagi H. Alkinani, Ahmed Sedik
Deep learning based algorithm (ConvLSTM) for Copy Move Forgery Detection. J. Intell. Fuzzy Syst. 40(3): 4385-4405 (2021) - 2020
- [j3]Faten Maher Al Azrak, Ahmed Sedik
An efficient method for image forgery detection based on trigonometric transforms and deep learning. Multim. Tools Appl. 79(25-26): 18221-18243 (2020) - [j2]Mohamed A. Elaskily
A novel deep learning framework for copy-moveforgery detection in images. Multim. Tools Appl. 79(27-28): 19167-19192 (2020)
2010 – 2019
- 2019
- [j1]Ahmed Sedik, Heba M. Emara, Asmaa Hamad, Eman M. Shahin, Noha A. El-Hag, Ali A. Khalil, Fatma E. Ibrahim, Zeinab M. Elsherbeny, Mahmoud Elreefy, Osama Zahran, Heba Ali El-Khobby, Ghada M. El Banby, Mohamed Elwekeil, Walid El Shafai, Ashraf A. M. Khalaf, Mohamed Rihan, Waleed Al-Nuaimy, Taha E. Taha, Mahmoud A. Attia, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, Moawad I. Dessouky, Nagy Wadie Messiha, Ibrahim M. Eldokany, Turky N. Alotaiby, Saleh A. Alshebeili, Fathi E. Abd El-Samie:
Efficient anomaly detection from medical signals and images. Int. J. Speech Technol. 22(3): 739-767 (2019)
Coauthor Index
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