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ORCIDMohamed M. Ezz
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Journal Articles
- 2024
[j10]Nacim Yanes
, Leila Jamel, Bayan Ibrahimm Alabdullah, Mohamed M. Ezz, Ayman Mohamed Mostafa, Hossameldeen Shabana:
Using Machine Learning for Detection and Prediction of Chronic Diseases. IEEE Access 12: 177674-177691 (2024)- 2023
- [j9]Eslam Hamouda, Mohamed M. Ezz, Ayman Mohamed Mostafa, Murtada Khalafallah Elbashir, Meshrif Alruily, Mayada Tarek:
Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection. Comput. Syst. Sci. Eng. 46(1): 619-636 (2023) - [j8]Mohamed M. Ezz, Waad Alanazi, Ayman Mohamed Mostafa, Eslam Hamouda, Murtada Khalafallah Elbashir, Meshrif Alruily:
Improved Siamese Palmprint Authentication Using Pre-Trained VGG16-Palmprint and Element-Wise Absolute Difference. Comput. Syst. Sci. Eng. 46(2): 2299-2317 (2023) - [j7]Meshrif Alruily, Wael Said, Ayman Mohamed Mostafa, Mohamed M. Ezz, Mahmoud Elmezain:
Breast Ultrasound Images Augmentation and Segmentation Using GAN with Identity Block and Modified U-Net 3+. Sensors 23(20): 8599 (2023) - 2022
- [j6]Amjad Alsirhani, Mohamed M. Ezz, Ayman Mohamed Mostafa:
Advanced Authentication Mechanisms for Identity and Access Management in Cloud Computing. Comput. Syst. Sci. Eng. 43(3): 967-984 (2022) - 2020
- [j5]Mohamed M. Ezz, Ayman Mohamed Mostafa, Abdurrahman A. Nasr:
A Silent Password Recognition Framework Based on Lip Analysis. IEEE Access 8: 55354-55371 (2020) - [j4]Nacim Yanes, Ayman Mohamed Mostafa, Mohamed M. Ezz, Saleh Naif Almuayqil:
A Machine Learning-Based Recommender System for Improving Students Learning Experiences. IEEE Access 8: 201218-201235 (2020) - [j3]Mohamed M. Ezz, Ayman El Shenawy:
Adaptive recommendation system using machine learning algorithms for predicting student's best academic program. Educ. Inf. Technol. 25(4): 2733-2746 (2020) - [j2]Marwa Saied, Ayman Elshenawy, Mohamed M. Ezz:
A Novel Approach for Improving Dynamic Biometric Authentication and Verification of Human Using Eye Blinking Movement. Wirel. Pers. Commun. 115(1): 859-876 (2020) - 2019
- [j1]Murtada Khalafallah Elbashir, Mohamed M. Ezz, Mohanad Mohammed, Said S. Saloum:
Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data. IEEE Access 7: 185338-185348 (2019)
Coauthor Index
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