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; et al. (Int. J. Speech Technol., 2019)

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 001; Fathi E. Abd El-Samie (Multim. Tools Appl., 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)

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 001; Ghada M. El Banby; Ashraf A. M. Khalaf; Fathi E. Abd El-Samie; Abdullah M. Iliyasu (IEEE Access, 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)

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; et al. (Int. J. Speech Technol., 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)

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)

Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications. - Mohamed Hammad; Ahmed A. Abd El-Latif 001; Amir Hussain 001; Fathi E. Abd El-Samie; Brij B. Gupta; Hassan Ugail; Ahmed Sedik (Comput. Electr. Eng., 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 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)

Smart and Automated Diagnosis of COVID-19 Using Artificial Intelligence Techniques. - Masoud Alajmi; Osama A. Elshakankiry; Walid El-Shafai; Hala S. El-sayed; Ahmed I. Sallam; Heba M. Elhoseny; Ahmed Sedik; Osama S. Faragallah (Intell. Autom. Soft 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)

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)

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)

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 001 (Neural Comput. Appl., 2022)

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)

Analysis of Brain MRI: AI-Assisted Healthcare Framework for the Smart Cities. - Walid El-Shafai; Randa Ali; Ahmed Sedik; Taha El-Sayed Taha; Mohammed Abd-Elnaby; Fathi E. Abd El-Samie (Intell. Autom. Soft Comput., 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)

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 Adaptive Fatigue Detection System Based on 3D CNNs and Ensemble Models. - Ahmed Sedik; Mohamed Marey; Hala Mostafa (Symmetry, 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; et al. (Wirel. Pers. Commun., 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., 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 001; Mohammed Ahmed El-Affendi; Hala Mostafa (Symmetry, 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., 2023)

An efficient image classification and segmentation method for crime investigation applications. - Ahmed Sedik; Hoshang Kolivand; Meshal Albeedan (Multim. Tools Appl., 2025)