Modified Proportional Fair Scheduling Algorithm for Heterogeneous LTE-A Networks. - Nada M. Elshennawy (Int. J. Interact. Mob. Technol., 2020)

Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases. - Dina M. Ibrahim; Nada M. Elshennawy; Amany M. Sarhan (Comput. Biol. Medicine, 2021)

Parallel approaches to improve the speed of chaotic-maps-based encryption using GPU. - Amany Elrefaey; Amany M. Sarhan; Nada M. Elshennawy (J. Real Time Image Process., 2021)

Utilizing deep learning models in CSI-based human activity recognition. - Eman Shalaby; Nada M. Elshennawy; Amany M. Sarhan (Neural Comput. Appl., 2022)

Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information. - Ahmed M. Gab Allah; Amany M. Sarhan; Nada M. Elshennawy (Expert Syst. Appl., 2023)

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction. - Dina Saif; Amany M. Sarhan; Nada M. Elshennawy (Health Inf. Sci. Syst., 2024)

A Manta-Ray Hill Climbing Vision Transformer Model for Predicting Ischemic Stroke Outcome. - Amany M. Sarhan; Dina Saif; Nada M. Elshennawy (Int. J. Comput. Intell. Syst., 2024)

Edge-supervised convolutional neural network for histopathological classification of oral cancer images. - Ahmed M. Gab Allah; Mohamed M. S. Gaballa; Nada M. Elshennawy; Amr Elkholy (Neural Comput. Appl., 2025)