Automating Credibility Assessment of Arabic News. - Mohamed Hammad; Elsayed E. Hemayed (SocInfo, 2013)

A novel biometric based on ECG signals and images for human authentication. - Mohamed Hammad; Mina Ibrahim; Mohiy M. Hadhoud (Int. Arab J. Inf. Technol., 2016)

Fingerprint classification based on a Q-Gaussian multiclass support vector machine. - Mohamed Hammad; Kuanquan Wang (ICBEA, 2017)

Ear verification based on a novel local feature extraction. - Ibrahim Omara; Mahmoud Emam; Mohamed Hammad; Wangmeng Zuo (ICBEA, 2017)

Detection of Abnormal Heart Conditions from the Analysis of ECG Signals. - Mohamed Hammad; Asmaa Maher; Adil Khan 002; Feng Jiang 001; Kuanquan Wang (BIOSIGNALS, 2018)

Very deep feature extraction and fusion for arrhythmias detection. - Moussa Amrani; Mohamed Hammad; Feng Jiang 001; Kuanquan Wang; Amel Amrani (Neural Comput. Appl., 2018)

An Effective Minimal Probing Approach With Micro-Cluster for Distance-Based Outlier Detection in Data Streams. - Mohamed Jaward Bah; Hongzhi Wang 001; Mohamed Hammad; Furkh Zeshan; Hanan Aljuaid (IEEE Access, 2019)

Multimodal Biometric Authentication Systems Using Convolution Neural Network Based on Different Level Fusion of ECG and Fingerprint. - Mohamed Hammad; Yashu Liu 003; Kuanquan Wang (IEEE Access, 2019)

Progress in Outlier Detection Techniques: A Survey. - Hongzhi Wang 001; Mohamed Jaward Bah; Mohamed Hammad (IEEE Access, 2019)

Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network. - Mohamed Hammad; Kuanquan Wang (Comput. Secur., 2019)

A Novel Deep Transfer Learning Method for Detection of Myocardial Infarction. - Mohamed Hammad (CoRR, 2019)

A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication. - Mohamed Hammad; Shanzhuo Zhang; Kuanquan Wang (Future Gener. Comput. Syst., 2019)

Cancelable biometric authentication system based on ECG. - Mohamed Hammad; Gongning Luo; Kuanquan Wang (Multim. Tools Appl., 2019)

Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities. - Ahmed Sedik; Lo'ai Tawalbeh; Mohamed Hammad; Ahmed A. Abd El-Latif 001; Ghada M. El Banby; Ashraf A. M. Khalaf; Fathi E. Abd El-Samie; Abdullah M. Iliyasu (IEEE Access, 2021)

ResNet-Attention model for human authentication using ECG signals. - Mohamed Hammad; Pawel Plawiak; Kuanquan Wang; Udyavara Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2021)

Homeland security video surveillance system utilising the internet of video things for smart cities. - Yasser Ismail; Mohamed Hammad; Mahmoud Darwich; Wael Elmedany (IET Comput. Digit. Tech., 2021)

T-SNERF: A novel high accuracy machine learning approach for Intrusion Detection Systems. - Mohamed Hammad; Nabil M. Hewahi; Wael Elmedany (IET Inf. Secur., 2021)

Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems. - Weizhe Zhang; Ibrahim A. Elgendy; Mohamed Hammad; Abdullah M. Iliyasu; Xiaojiang Du; Mohsen Guizani; Ahmed A. Abd El-Latif 001 (IEEE Internet Things J., 2021)

Automated detection of shockable ECG signals: A review. - Mohamed Hammad; Kandala N. V. P. S. Rajesh; Amira Abdelatey; Moloud Abdar; Mariam Zomorodi Moghadam; Ru-San Tan; U. Rajendra Acharya; Joanna Plawiak; Ryszard Tadeusiewicz; Vladimir Makarenkov; Nizal Sarrafzadegan; Abbas Khosravi; et al. (Inf. Sci., 2021)

Development of accurate classification of heavenly bodies using novel machine learning techniques. - Michal Wierzbinski; Pawel Plawiak; Mohamed Hammad; U. Rajendra Acharya (Soft Comput., 2021)

A Multitier Deep Learning Model for Arrhythmia Detection. - Mohamed Hammad; Abdullah M. Iliyasu; Abdulhamit Subasi; Edmond S. L. Ho; Ahmed A. Abd El-Latif 001 (IEEE Trans. Instrum. Meas., 2021)

A novel model to optimize multiple imputation algorithm for missing data using evolution methods. - Yasser Salaheldin Mohammed; Hatem M. Abdelkader; Pawel Plawiak; Mohamed Hammad (Biomed. Signal Process. Control., 2022)

Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications. - Mohamed Hammad; Ahmed A. Abd El-Latif 001; Amir Hussain 001; Fathi E. Abd El-Samie; Brij B. Gupta; Hassan Ugail; Ahmed Sedik (Comput. Electr. Eng., 2022)

MMM-RF: A novel high accuracy multinomial mixture model for network intrusion detection systems. - Mohamed Hammad; Nabil M. Hewahi; Wael Elmedany (Comput. Secur., 2022)

Graph convolutional network with triplet attention learning for person re-identification. - Shimaa Saber; Khalid Mohamed Amin; Pawel Plawiak; Ryszard Tadeusiewicz; Mohamed Hammad (Inf. Sci., 2022)

Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication. - Ahmed S. Sakr; Pawel Plawiak; Ryszard Tadeusiewicz; Mohamed Hammad (Inf. Sci., 2022)

Myocardial infarction detection based on deep neural network on imbalanced data. - Mohamed Hammad; Monagi H. Alkinani; Brij B. Gupta; Ahmed A. Abd El-Latif 001 (Multim. Syst., 2022)

Efficient deep learning approach for augmented detection of Coronavirus disease. - Ahmed Sedik; Mohamed Hammad; Fathi E. Abd El-Samie; Brij B. Gupta; Ahmed A. Abd El-Latif 001 (Neural Comput. Appl., 2022)

Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model. - Mohamed Hammad; Samia Allaoua Chelloug; Reem Alkanhel; Allam Jaya Prakash; Ammar Muthanna; Ibrahim A. Elgendy; Pawel Plawiak (Sensors, 2022)

Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification. - Mohamed Hammad; Souham Meshoul; Piotr Dziwiñski; Pawel Plawiak; Ibrahim A. Elgendy (Sensors, 2022)

Criteria and Tips for Choosing Suitable Journal for Your Paper. - Mohamed Hammad (CoRR, 2023)

ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. - Ahmed S. Sakr; Pawel Plawiak; Ryszard Tadeusiewicz; Joanna Plawiak; Mohamed Sakr; Mohamed Hammad (Inf. Sci., 2023)

A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching. - Allam Jaya Prakash; Kiran Kumar Patro; Saunak Samantray; Pawel Plawiak; Mohamed Hammad (Inf., 2023)

Automatic fake document identification and localization using DE-Net and color-based features of foreign inks. - Sondos M. Fadl; Khalid M. Hosny; Mohamed Hammad (J. Vis. Commun. Image Represent., 2023)

A Multi-Attention Approach for Person Re-Identification Using Deep Learning. - Shimaa Saber; Souham Meshoul; Khalid Mohamed Amin; Pawel Plawiak; Mohamed Hammad (Sensors, 2023)

Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection. - Mohamed Hammad; Pawel Plawiak; Mohammed Ahmed El-Affendi; Ahmed A. Abd El-Latif 001; Asmaa A. Abdel Latif (Sensors, 2023)

Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models. - Asif Rahim; Yanru Zhong; Tariq Ahmad 004; Sadique Ahmad; Pawel Plawiak; Mohamed Hammad (Sensors, 2023)

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. - Kiran Kumar Patro; Allam Jaya Prakash; Bala Chakravarthy Neelapu; Ryszard Tadeusiewicz; U. Rajendra Acharya; Mohamed Hammad; Özal Yildirim; Pawel Plawiak (Inf. Sci., 2023)

Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions. - Manar Osama; Abdelhamied A. Ateya; Mohammed Sharaf Sayed; Mohamed Hammad; Pawel Plawiak; Ahmed A. Abd El-Latif 001; Rania A. Elsayed (Sensors, 2023)

AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models. - Achraf Daoui; Mohamed Yamni; Torki A. Altameem; Musheer Ahmad 002; Mohamed Hammad; Pawel Plawiak; Ryszard Tadeusiewicz; Ahmed A. Abd El-Latif 001 (Sensors, 2023)

A Distributed Network Model for Digital Contracts. - Yousef Abdelmagid; Mohamed Hammad (ICCTA, 2024)

CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation. - Yaoyiran Li; Xiang Zhai; Moustafa Alzantot; Keyi Yu; Ivan Vulic; Anna Korhonen; Mohamed Hammad (RecSys, 2024)

Deep Cancelable Multibiometric Finger Vein and Fingerprint Authentication With Non-Negative Matrix Factorization. - Mohamed Hammad; Mudasir Ahmad Wani; Kashish Ara Shakil; Hadil Shaiba; Ahmed A. Abd El-Latif 001 (IEEE Access, 2024)

Fine-Tuned Understanding: Enhancing Social Bot Detection With Transformer-Based Classification. - Amine Sallah; El Arbi Abdellaoui Alaoui; Said Agoujil; Mudasir Ahmad Wani; Mohamed Hammad; Yassine Maleh; Ahmed A. Abd El-Latif 001 (IEEE Access, 2024)

Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities. - Ahmed Alghamdi; Mohamed Hammad; Hassan Ugail; Asmaa Abdel-Raheem; Khan Muhammad 001; Hany S. Khalifa; Ahmed A. Abd El-Latif 001 (Multim. Tools Appl., 2024)

Automated heart disease prediction using improved explainable learning-based technique. - Pierre Claver Bizimana; Zuping Zhang 001; Alphonse Houssou Hounye; Muhammad Asim 002; Mohamed Hammad; Ahmed A. Abd El-Latif 001 (Neural Comput. Appl., 2024)

Cancelable Multi-Branch Deep Learning Framework for Privacy-Preserving ECG Biometric Authentication. - Mohamed Hammad; Ali Abdullah S. AlQahtani; Mohammed ELAffendi; Abdelhamied A. Ateya; Nebojsa Bacanin (IEEE Access, 2025)

CardioECGNet: A novel deep learning architecture for accurate and automated ECG signal classification across diverse cardiac conditions. - Mohamed Hammad; Mohammed Ahmed El-Affendi; Ahmed A. Abd El-Latif 001 (Biomed. Signal Process. Control., 2025)

Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction. - John Philipose Villoth; Miodrag Zivkovic; Tamara Zivkovic; Mahmoud Abdel-Salam; Mohamed Hammad; Luka Jovanovic; Vladimir Simic; Nebojsa Bacanin (Neurocomputing, 2025)

Automatic liver tumor segmentation of CT and MRI volumes using ensemble ResUNet-InceptionV4 model. - Hameedur Rahman; Najib Ben Aoun; Tanvir Fatima Naik Bukht; Sadique Ahmad; Ryszard Tadeusiewicz; Pawel Plawiak; Mohamed Hammad (Inf. Sci., 2025)

Cancelable random masking with deep learning for secure and interpretable finger vein authentication. - Mohamed Hammad; Abdelhamied A. Ateya; Mohammed ELAffendi; Ahmed A. Abd El-Latif 001 (Intell. Syst. Appl., 2025)