Mohamed M. Ezz

According to our database, Mohamed M. Ezz authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Using Machine Learning for Detection and Prediction of Chronic Diseases.

Nacim Yanes, Leila Jamel, Bayan Ibrahimm Alabdullah, Mohamed M. Ezz, Ayman Mohamed Mostafa, Hossameldeen Shabana

IEEE Access, 2024

2023

Breast Ultrasound Images Augmentation and Segmentation Using GAN with Identity Block and Modified U-Net 3+.

Meshrif Alruily, Wael Said, Ayman Mohamed Mostafa, Mohamed M. Ezz, Mahmoud Elmezain

Sensors, October, 2023

Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection.

Eslam Hamouda, Mohamed M. Ezz, Ayman Mohamed Mostafa, Murtada Khalafallah Elbashir, Meshrif Alruily, Mayada Tarek

Comput. Syst. Sci. Eng., 2023

Improved Siamese Palmprint Authentication Using Pre-Trained VGG16-Palmprint and Element-Wise Absolute Difference.

Mohamed M. Ezz, Waad Alanazi, Ayman Mohamed Mostafa, Eslam Hamouda, Murtada Khalafallah Elbashir, Meshrif Alruily

Comput. Syst. Sci. Eng., 2023

2022

Advanced Authentication Mechanisms for Identity and Access Management in Cloud Computing.

Amjad Alsirhani, Mohamed M. Ezz, Ayman Mohamed Mostafa

Comput. Syst. Sci. Eng., 2022

2020

A Novel Approach for Improving Dynamic Biometric Authentication and Verification of Human Using Eye Blinking Movement.

Marwa Saied, Ayman Elshenawy, Mohamed M. Ezz

Wirel. Pers. Commun., 2020

Adaptive recommendation system using machine learning algorithms for predicting student's best academic program.

Mohamed M. Ezz, Ayman El Shenawy

Educ. Inf. Technol., 2020

A Machine Learning-Based Recommender System for Improving Students Learning Experiences.

Nacim Yanes, Ayman Mohamed Mostafa, Mohamed M. Ezz, Saleh Naif Almuayqil

IEEE Access, 2020

A Silent Password Recognition Framework Based on Lip Analysis.

Mohamed M. Ezz, Ayman Mohamed Mostafa, Abdurrahman A. Nasr

IEEE Access, 2020

2019

Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data.

Murtada Khalafallah Elbashir, Mohamed M. Ezz, Mohanad Mohammed, Said S. Saloum

IEEE Access, 2019