Ahmed Sedik

According to our database, Ahmed Sedik authored at least 23 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A survey on traditional and deep learning copy move forgery detection (CMFD) techniques.

Mohamed A. Elaskily, Mohamed M. Dessouky, Osama S. Faragallah, Ahmed Sedik

Multim. Tools Appl., September, 2023

A Cancelable Biometric System Based on Deep Style Transfer and Symmetry Check for Double-Phase User Authentication.

Ahmed Sedik, Ahmed A. Abd El-Latif, Mohammed Ahmed El-Affendi, Hala Mostafa

Symmetry, July, 2023

An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models.

Nora El-Rashidy, Ahmed Sedik, Ali I. Siam, Zainab Hassan Ali

Neural Comput. Appl., May, 2023

A Proposed Deep-Learning-Based Framework for Medical Image Communication, Storage and Diagnosis.

Mostafa Ebied, Fathy A. Elmisery, Noha A. El-Hag, Ahmed Sedik, Walid El Shafai, Ghada M. El Banby, Eman Soltan, Nayel S. Al-Zubi, Ayman M. Brisha, Abdelhalim Zekry, Ashraf A. M. Khalaf, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, Waleed Al-Nuaimy, Fathi E. Abd El-Samie

Wirel. Pers. Commun., 2023

An Adaptive Fatigue Detection System Based on 3D CNNs and Ensemble Models.

Ahmed Sedik, Mohamed Marey, Hala Mostafa

Symmetry, 2023

SFBC Recognition over Orthogonal Frequency Division Multiplexing Schemes in the Presence of Inphase and Quadrature Phase Discrepancies for Cognitive Radio Applications.

Mohamed Marey, Ahmed Sedik, Hala Mostafa

Sensors, 2023

An efficient deep learning model for classification of thermal face images.

Basma Abd El-Rahiem, Ahmed Sedik, Ghada M. El Banby, Hani M. Ibrahem, Mohamed Amin, Oh-Young Song, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie

J. Enterp. Inf. Manag., 2023

An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision.

Shaymaa E. Sorour, Amr A. Abohany, Mohamed S. Elredeny, Ahmed Sedik, Reda M. Hussien

IEEE Access, 2023

2022

Efficient deep learning approach for augmented detection of Coronavirus disease.

Ahmed Sedik, Mohamed Hammad, Fathi E. Abd El-Samie, Brij B. Gupta, Ahmed A. Abd El-Latif

Neural Comput. Appl., 2022

An efficient cybersecurity framework for facial video forensics detection based on multimodal deep learning.

Ahmed Sedik, Osama S. Faragallah, Hala S. El-sayed, Ghada M. El Banby, Fathi E. Abd El-Samie, Ashraf A. M. Khalaf, Walid El Shafai

Neural Comput. Appl., 2022

An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream.

Basma Abd El-Rahiem, Mohamed Amin, Ahmed Sedik, Fathi E. Abd El-Samie, Abdullah M. Iliyasu

J. Ambient Intell. Humaniz. Comput., 2022

Convolutional neural network model for spectrum sensing in cognitive radio systems.

Walid El Shafai, Ahmed Fawzi, Ahmed Sedik, Abdelhalim Zekry, Ghada M. El Banby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Mohammed Abd-Elnaby

Int. J. Commun. Syst., 2022

Deep fake news detection system based on concatenated and recurrent modalities.

Ahmed Sedik, Amr A. Abohany, Karam M. Sallam, Kumudu S. Munasinghe, Tamer Medhat

Expert Syst. Appl., 2022

Deploying Machine Learning Techniques for Human Emotion Detection.

Ali I. Siam, Naglaa F. Soliman, Abeer D. Algarni, Fathi E. Abd El-Samie, Ahmed Sedik

Comput. Intell. Neurosci., 2022

Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications.

Mohamed Hammad, Ahmed A. Abd El-Latif, Amir Hussain, Fathi E. Abd El-Samie, Brij B. Gupta, Hassan Ugail, Ahmed Sedik

Comput. Electr. Eng., 2022

Fatigue State Detection for Tired Persons in Presence of Driving Periods.

Riad Alharbey, Mohamed M. Dessouky, Ahmed Sedik, Ali I. Siam, Mohamed A. Elaskily

IEEE Access, 2022

2021

Deep learning based algorithm (ConvLSTM) for Copy Move Forgery Detection.

Mohamed A. Elaskily, Monagi H. Alkinani, Ahmed Sedik, Mohamed M. Dessouky

J. Intell. Fuzzy Syst., 2021

Text-dependent and text-independent speaker recognition of reverberant speech based on CNN.

Samia Abd El-Moneim, Ahmed Sedik, Mohamed Abd-Elsalam Nassar, Adel S. El-Fishawy, A. M. Sharshar, Shaimaa E. A. Hassan, Adel Zaghloul Mahmoud, Moawad I. Dessouky, Ghada M. El Banby, Fathi E. Abd El-Samie, El-Sayed M. El-Rabaie, Badawi Neyazi, H. S. Seddeq, Nabil A. Ismail, Ashraf A. M. Khalaf, G. S. M. Elabyad

Int. J. Speech Technol., 2021

Biosignal classification for human identification based on convolutional neural networks.

Ali I. Siam, Ahmed Sedik, Walid El Shafai, Lamiaa A. Abou Elazm, Nirmeen A. El-Bahnasawy, Ghada M. El Banby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie

Int. J. Commun. Syst., 2021

Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities.

Ahmed Sedik, Lo'ai Tawalbeh, Mohamed Hammad, Ahmed A. Abd El-Latif, Ghada M. El Banby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Abdullah M. Iliyasu

IEEE Access, 2021

2020

A novel deep learning framework for copy-moveforgery detection in images.

Mohamed A. Elaskily, Heba A. Elnemr, Ahmed Sedik, Mohamed M. Dessouky, Ghada M. El Banby, Osama A. Elshakankiry, Ashraf A. M. Khalaf, Heba Kamal Aslan, Osama S. Faragallah, Fathi E. Abd El-Samie

Multim. Tools Appl., 2020

An efficient method for image forgery detection based on trigonometric transforms and deep learning.

Faten Maher Al Azrak, Ahmed Sedik, Moawad I. Dessowky, Ghada M. El Banby, Ashraf A. M. Khalaf, Ahmed S. ElKorany, Fathi E. Abd El-Samie

Multim. Tools Appl., 2020

2019

Efficient anomaly detection from medical signals and images.

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

Int. J. Speech Technol., 2019