M. Hammad

发表

A novel end-to-end deep learning approach for cancer detection based on microscopic medical images

A. El-latif, R. Tadeusiewicz, Paweł Pławiak, 2022, Biocybernetics and Biomedical Engineering.

A Multi-fusion IoT Authentication System Based on Internal Deep Fusion of ECG Signals

M. Hammad, Basma Abd El-Rahiem, 2021, Studies in Big Data.

End-to-End Data Authentication Deep Learning Model for Securing IoT Configurations

Abdullah M. Iliyasu, Ibrahim A. Elgendy, A. El-latif, 2022 .

Progress in Outlier Detection Techniques: A Survey

Hongzhi Wang, Mohamed Hammad, Mohamed Jaward Bah, 2019, IEEE Access.

Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model

Pawel Plawiak, S. Chelloug, A. Muthanna, 2022, Sensors.

ResNet‐Attention model for human authentication using ECG signals

Mohamed Hammad, Kuanquan Wang, Paweł Pławiak, 2020, Expert Syst. J. Knowl. Eng..

Fingerprint classification based on a Q-Gaussian multiclass support vector machine

Mohamed Hammad, Kuanquan Wang, Kuanquan Wang, 2017, ICBEA '17.

BAED: A secured biometric authentication system using ECG signal based on deep learning techniques

Kiran Kumar Patro, R. Tadeusiewicz, Paweł Pławiak, 2022, Biocybernetics and Biomedical Engineering.

Multimodal Biometric Authentication Systems Using Convolution Neural Network Based on Different Level Fusion of ECG and Fingerprint

Mohamed Hammad, Kuanquan Wang, Yashu Liu, 2019, IEEE Access.

Cancelable biometric authentication system based on ECG

Kuanquan Wang, Gongning Luo, M. Hammad, 2018, Multimedia Tools and Applications.

A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication

Mohamed Hammad, Kuanquan Wang, Shanzhuo Zhang, 2019, Future Gener. Comput. Syst..

Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images

Abdullah M. Iliyasu, Monagi H. Alkinani, F. A. Abd El-Samie, 2022, Journal of King Saud University - Science.

Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems

Xiaojiang Du, Mohsen Guizani, Ahmed A. Abd El-Latif, 2021, IEEE Internet of Things Journal.

Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network

Mohamed Hammad, Kuanquan Wang, Kuanquan Wang, 2019, Comput. Secur..

T-SNERF: A novel high accuracy machine learning approach for Intrusion Detection Systems

Mohamed Hammad, Nabil M. Hewahi, Wael Elmedany, 2021, IET Inf. Secur..

Ear verification based on a novel local feature extraction

Mohamed Hammad, Wangmeng Zuo, Ibrahim Omara, 2017, ICBEA '17.

Development of accurate classification of heavenly bodies using novel machine learning techniques

Mohamed Hammad, Pawel Plawiak, U. Rajendra Acharya, 2021, Soft Computing.

Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities

Ahmed A. Abd El-Latif, Mohamed Hammad, Ashraf A. M. Khalaf, 2021, IEEE Access.

MMM-RF: A novel high accuracy multinomial mixture model for network intrusion detection systems

N. Hewahi, M. Hammad, W. Elmedany, 2022, Comput. Secur..

Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication

Ahmed S. Sakr, R. Tadeusiewicz, Paweł Pławiak, 2021, Inf. Sci..

A Novel Approach for Maternal and Fetal RPeaks Detection

Mohamed Adel hammad, Mina Ibrahim, Mohiy Mohamed Hadhoud, 2014 .

Cancelable biometric authentication system based on ECG

Mohamed Hammad, Gongning Luo, Kuanquan Wang, 2018, Multimedia Tools and Applications.