Nada M. Elshennawy

Nada M. Elshennawy

Tanta University

H-index: 9

Africa-Egypt

About Nada M. Elshennawy

Nada M. Elshennawy, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Tanta University, specializes in the field of Machine Learning, Deep Learning, AI applications, wired and wireless networks, human behavior.

His recent articles reflect a diverse array of research interests and contributions to the field:

Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers

A Manta-Ray Hill Climbing Vision Transformer Model for Predicting Ischemic Stroke Outcome

GMA: Gap Imputing Algorithm for time series missing values

T2D2: A Time Series Tester, Transformer, and Decomposer Framework for Outlier Detection

Efficient Resource Allocation of Latency Aware Slices for 5G Networks

A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Hyper-Dense_Lung_Seg: Multimodal-Fusion-Based Modified U-Net for Lung Tumour Segmentation Using Multimodality of CT-PET Scans

Nada M. Elshennawy Information

University

Position

Lecturer Faculty of Engineering Egypt

Citations(all)

582

Citations(since 2020)

571

Cited By

32

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Tanta University

Google Scholar

View Google Scholar Profile

Nada M. Elshennawy Skills & Research Interests

Machine Learning

Deep Learning

AI applications

wired and wireless networks

human behavior

Top articles of Nada M. Elshennawy

Title

Journal

Author(s)

Publication Date

Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers

Journal of Electrical Systems and Information Technology

Dina Saif

Amany M Sarhan

Nada M Elshennawy

2024/12

A Manta-Ray Hill Climbing Vision Transformer Model for Predicting Ischemic Stroke Outcome

International Journal of Computational Intelligence Systems

Amany M Sarhan

Dina Saif

Nada M Elshennawy

2024/4/8

GMA: Gap Imputing Algorithm for time series missing values

Journal of Electrical Systems and Information Technology

Abd Alhamid Rabia Khattab

Nada Mohamed Elshennawy

Mahmoud Fahmy

2023/8/30

T2D2: A Time Series Tester, Transformer, and Decomposer Framework for Outlier Detection

Journal of Engineering Research

Abdel Hamid Rabie Khattab

Mahmoud Fahmy Amin

Nada Elshennawy

2023/3/15

Efficient Resource Allocation of Latency Aware Slices for 5G Networks

Journal of Engineering Research

Mohamed TALAAT FAHIM

Mai Z Ibrahim

Nada Elshennawy

2023/3/15

A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images

Alexandria Engineering Journal

Goram Mufarah M Alshmrani

Qiang Ni

Richard Jiang

Haris Pervaiz

Nada M Elshennawy

2023/2/1

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Health Information Science and Systems

Dina Saif

Amany M Sarhan

Nada M Elshennawy

2023/12/1

Hyper-Dense_Lung_Seg: Multimodal-Fusion-Based Modified U-Net for Lung Tumour Segmentation Using Multimodality of CT-PET Scans

Diagnostics

Goram Mufarah Alshmrani

Qiang Ni

Richard Jiang

Nada Muhammed

2023/11/20

Slice Admission control based on Reinforcement Learning for 5G Networks

Journal of Engineering Research

Mai Z Ibrahim

Mohamed TALAAT FAHIM

Nada Elshennawy

2023/9/1

Deep-Risk: Deep Learning-Based Mortality Risk Predictive Models for COVID-19

Diagnostics

Nada M Elshennawy

Dina M Ibrahim

Amany M Sarhan

Mohamed Arafa

2022/7/30

Improving Date Fruit Classification Using CycleGAN-Generated Dataset.

Computer Modeling in Engineering and Sciences (CMES)

Dina M Ibrahim

Nada M Elshennawy

2022

Utilizing deep learning models in CSI-based human activity recognition

Neural Computing and Applications

Eman Shalaby

Nada ElShennawy

Amany Sarhan

2022/4/1

Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases

Computers in biology and medicine

Dina M Ibrahim

Nada M Elshennawy

Amany M Sarhan

2021/5/1

HLR-net: a hybrid lip-reading model based on deep convolutional neural networks

Computers, Materials & Continua CMC

Amany Sarhan

Nada M. Elshennawy

Dina M. Ibrahim

2021/4/13

Human detection/tracking system for video surveillance with noise removal

Amany Sarhan

Nada M Elshennawy

Ghadeer M Diab

2021

Classification of brain MRI tumor images based on deep learning PGGAN augmentation

Diagnostics

Ahmed M Gab Allah

Amany M Sarhan

Nada M Elshennawy

2021/12/13

Parallel approaches to improve the speed of chaotic-maps-based encryption using GPU

Journal of Real-Time Image Processing

Amany Elrefaey

Amany Sarhan

Nada M El-Shennawy

2021/12/1

Deep-pneumonia framework using deep learning models based on chest X-ray images

Diagnostics

Nada M Elshennawy

Dina M Ibrahim

2020/8/28

Deep learning sign language recognition system based on wi-fi csi

Int. J. Intell. Syst. Appl

Marwa RM Bastwesy

Nada M ElShennawy

Mohamed T Faheem Saidahmed

2020/12/1

Modified Proportional Fair Scheduling Algorithm for Heterogeneous LTE-A Networks.

International Journal of Interactive Mobile Technologies

Nada M Elshennawy

2020/10/1

See List of Professors in Nada M. Elshennawy University(Tanta University)