Title

Year

S. Ahmed, H. El-Khobby, A. Mahmoud, and A.F.E. El-Samie, Enhanced Technique via Filters for Seizure Prediction, J Bioeng. Biomed. Sci. 7 (2017) 2.

2017

S. Abd El-Moneim, M.A. Nassar, A.S. El-Fishawy, S.E.A.A. Hassan, M.I. Dessouky, G.M. El-Banby, F.I. Abd El-Samie, A. Sedik, N.A. Ismail, and A.A.M. Khalaf, Effect of Reverberation Phenomena on Text-independent Speaker Recognition Based Deep Learning, Menoufia J. Electron. Eng. Res. 28 (2019) 19–23.

2019

A.M. El-Ashkar, A. Sedik, H. Shendy, T.E.S. Taha, A.S. El-Fishawy, A. El-Nabi, A.A.M. Khalaf, G.H. El-Banby, A. El-Samie, and E. Fathi, Classification of Reconstructed SAR Images Based on Convolutional Neural Network, Menoufia J. Electron. Eng. Res. 28 (2019) 122–125.

2019

N.T. Haggag, A. Sedik, G.M. Elbanby, A.S. El-Fishawy, and A.A. Khalaf, Classification of Corneal Pattern Based on Convolutional LSTM Neural Network, Menoufia J. Electr. Eng. Res. 28 (2019) 158–162.

2019

H. Khalil, N. El-Hag, A. Sedik, W. El-Shafie, A.E.-N. Mohamed, A.A. Khalaf, and A.S. El-Fishawy, Classification of diabetic retinopathy types based on convolution neural network (CNN), Menoufia J. Electron. Eng. Res. 28 (2019) 126–153.

2019

Y.F. Sallam, A. Sedik, R. Ghazy, N. Abdelwahab, H.H. Ahmed, A. Saleeb, G.M. El Banby, A.A.M. Khalaf, A. El-Samie, and E. Fathi, Intrusion Detection Based on Deep Learning, Menoufia J. Electron. Eng. Res. 28 (2019) 369–373.

2019

A. Sedik, H.M. Emara, A. Hamad, E.M. Shahin, N. A. El-Hag, A. Khalil, F. Ibrahim, Z.M. Elsherbeny, M. Elreefy, O. Zahran, H.A. El-Khobby, G.M. El Banby, M. Elwakeil, W. El-Shafai, A.A.M. Khalaf, M. Rihan, W. Al-Nuaimy, T.E. Taha, M.A. Attia, A.S. El-Fishawy, E.-S.M. El-Rabaie, M.I. Dessouky, N.W. Messiha, I.M. Eldokany, T.N. Alotaiby, S.A. Alshebeili, and F.E. Abd El-Samie, Efficient anomaly detection from medical signals and images, Int. J. Speech Technol. 22 (2019). doi:10.1007/s10772-019-09610-z.

2019

A. Sedik, T. Alotaiby, H. El-Khobby, M. Atea, S.A. Alshebeili, A. El-Samie, and E. Fathi, A Statistical Seizure Prediction Approach Based on Savitzky-Golay Smoothing, Menoufia J. Electron. Eng. Res. 27 (2018) 53–70.

2019

B. Abd El-Rahiem, A. Sedik, G.M. El Banby, H.M. Ibrahem, M. Amin, O.-Y. Song, A.A.M. Khalaf, and F.E. Abd El-Samie, An efficient deep learning model for classification of thermal face images, J. Enterp. Inf. Manag. (2020).

2020

N.A. El?Hag, A. Sedik, W. El?Shafai, H.M. El?Hoseny, A.A.M. Khalaf, A.S. El?Fishawy, W. Al?Nuaimy, F.E. Abd El?Samie, and G.M. El?Banby, Classification of retinal images based on convolutional neural network, Microsc. Res. Tech. (2020).

2020

M.A. Elaskily, H.A. Elnemr, A. Sedik, M.M. Dessouky, G.M. El Banby, O.A. Elshakankiry, A.A.M. Khalaf, H.K. Aslan, O.S. Faragallah, and F.E. Abd El-Samie, A novel deep learning framework for copy-moveforgery detection in images, Multimed. Tools Appl. (2020). doi:10.1007/s11042-020-08751-7.

2020

H. Ghanem, A. Sedik, A.N.Z. Rashed, M.S.F. Tabbour, A. Khalaf, G. Elbanby, and F.E. Abd El-Samie, Image Processing Methods For Gamma Radiation Effect Detection On Optical Fibers, (n.d.).

2020

F.M. Al_Azrak, A. Sedik, M.I. Dessowky, G.M. El Banby, A.A.M. Khalaf, A.S. Elkorany, and F.E. Abd. El-Samie, An efficient method for image forgery detection based on trigonometric transforms and deep learning, Multimed. Tools Appl. (2020). doi:10.1007/s11042-019-08162-3.

2020

N.T. Haggag, A. Sedik, G.M. Elbanby, A.S. El-Fishawy, W. El-Shafai, A. Khalaf, E.-S.M. El-Rabie, N.A. Ismail, A. El-Samie, and E. Fathi, Classification of Corneal Pattern Based on Convolutional Neural Network, Menoufia J. Electron. Eng. Res. 29 (2020) 9–14.

2020

A. Sedik, A.M. Iliyasu, A. El-Rahiem, M.E. Abdel Samea, A. Abdel-Raheem, M. Hammad, J. Peng, A. El-Samie, E. Fathi, and A.A.A. El-Latif, Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections, Viruses. 12 (2020) 769.

2020

S.A. El-Moneim, A. Sedik, M.A. Nassar, A.S. El-Fishawy, A.M. Sharshar, S.E.A. Hassan, A.Z. Mahmoud, M.I. Dessouky, G.M. El-Banby, and F.E.A. El-Samie, Text-dependent and text-independent speaker recognition of reverberant speech based on CNN, Int. J. Speech Technol. 24 (2021) 993–1006.

2021

B.A. El-Rahiem, M. Amin, A. Sedik, F.E. Samie, and A.M. Iliyasu, An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream, J. Ambient Intell. Humaniz. Comput. (2021) 1–13.

2021

N.A. El?Hag, A. Sedik, G.M. El?Banby, W. El?Shafai, A.A.M. Khalaf, W. Al?Nuaimy, F.E. Abd El?Samie, and H.M. El?Hoseny, Utilization of image interpolation and fusion in brain tumor segmentation, Int. j. Numer. Method. Biomed. Eng. 37 (2021) e3449.

2021

N.A. El?Hag, A. Sedik, W. El?Shafai, H.M. El?Hoseny, A.A.M. Khalaf, A.S. El?Fishawy, W. Al?Nuaimy, F.E. Abd El?Samie, and G.M. El?Banby, Classification of retinal images based on convolutional neural network, Microsc. Res. Tech. 84 (2021) 394–414.

2021

A. Sedik, M. Hammad, A.A. Abd El-Latif, G.M. El-Banby, A.A.M. Khalaf, F.E. Abd El-Samie, and A.M. Iliyasu, Deep learning modalities for biometric alteration detection in 5G networks-based secure smart cities, IEEE Access. 9 (2021) 94780–94788.

2021

A. Sedik, M. Hammad, F.E. Abd El-Samie, B.B. Gupta, and A.A. Abd El-Latif, Efficient deep learning approach for augmented detection of Coronavirus disease, Neural Comput. Appl. (2021) 1–18.

2021

A. Shafik, A. Sedik, B. Abd El-Rahiem, E.-S.M. El-Rabaie, G.M. El Banby, F.E. Abd El-Samie, A.A.M. Khalaf, O.-Y. Song, and A.M. Iliyasu, Speaker identification based on Radon transform and CNNs in the presence of different types of interference for Robotic Applications, Appl. Acoust. 177 (2021) 107665.

2021

A.I. Siam, A. Sedik, W. El?Shafai, A.A. Elazm, N.A. El?Bahnasawy, G.M. El Banby, A.A.M. Khalaf, and F.E. Abd El?Samie, Biosignal classification for human identification based on convolutional neural networks, Int. J. Commun. Syst. 34 (2021) e4685.

2021

M. Alajmi, O.A. Elshakankiry, W. El-Shafai, H.S. El-Sayed, A.I. Sallam, H.M. El-Hoseny, A. Sedik, and O.S. Faragallah, Smart and Automated Diagnosis of COVID-19 Using Artificial Intelligence Techniques, Intell. Autom. Soft Comput. (2022) 1403–1413.

2022

M. Hammad, L. Tawalbeh, A.M. Iliyasu, A. Sedik, F.E. Abd El-Samie, M.H. Alkinani, and A.A. Abd El-Latif, An Efficient Multimodal Deep Learning COVID-19 Diagnostic System for Noisy and Corrupted Images, J. King Saud Univ. (2022) 101898.

2022

A.A. Khalil, F. E Ibrahim, M.Y. Abbass, N. Haggag, Y. Mahrous, A. Sedik, Z. Elsherbeeny, A.A.M. Khalaf, M. Rihan, and W. El?Shafai, Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems, Int. j. Numer. Method. Biomed. Eng. 38 (2022) e3530.

2022

A. Sedik, O.S. Faragallah, H.S. El-sayed, G.M. El-Banby, F.E.A. El-Samie, A.A.M. Khalaf, and W. El-Shafai, An efficient cybersecurity framework for facial video forensics detection based on multimodal deep learning, Neural Comput. Appl. 34 (2022) 1251–1268.

2022

A.I. Siam, N.F. Soliman, A.D. Algarni, A. El-Samie, E. Fathi, and A. Sedik, Deploying Machine Learning Techniques for Human Emotion Detection, Comput. Intell. Neurosci. 2022 (2022).

2022