An Experimental Evaluation of Binary Feature Descriptors. - Hammam A. Alshazly; M. Hassaballah 001; Abdelmgeid A. Ali; G. Wang (AISI, 2017)

Ear Biometric Recognition Using Gradient-Based Feature Descriptors. - Hammam A. Alshazly; M. Hassaballah 001; Mourad Ahmed; Abdelmgeid A. Ali (AISI, 2018)

Ear recognition using local binary patterns: A comparative experimental study. - M. Hassaballah 001; Hammam A. Alshazly; Abdelmgeid A. Ali (Expert Syst. Appl., 2019)

Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition. - Hammam A. Alshazly; Christoph Linse; Erhardt Barth; Thomas Martinetz (Sensors, 2019)

Handcrafted versus CNN Features for Ear Recognition. - Hammam A. Alshazly; Christoph Linse; Erhardt Barth; Thomas Martinetz (Symmetry, 2019)

Analysis and Evaluation of Keypoint Descriptors for Image Matching. - M. Hassaballah 001; Hammam A. Alshazly; Abdelmgeid A. Ali (Recent Advances in Computer Vision, 2019)

Deep Convolutional Neural Networks for Unconstrained Ear Recognition. - Hammam A. Alshazly; Christoph Linse; Erhardt Barth; Thomas Martinetz (IEEE Access, 2020)

Robust local oriented patterns for ear recognition. - Mahmoud Hassaballah; Hammam A. Alshazly; Abdelmgeid A. Ali (Multim. Tools Appl., 2020)

Towards Explainable Ear Recognition Systems Using Deep Residual Networks. - Hammam A. Alshazly; Christoph Linse; Erhardt Barth; Sahar Ahmed Idris; Thomas Martinetz (IEEE Access, 2021)

Diabetic Retinopathy Diagnosis From Fundus Images Using Stacked Generalization of Deep Models. - Harshit Kaushik; Dilbag Singh; Manjit Kaur; Hammam A. Alshazly; Atef Zaguia; Habib Hamam (IEEE Access, 2021)

A Novel Binary Seagull Optimizer and its Application to Feature Selection Problem. - Vijay Kumar 003; Dinesh Kumar 001; Manjit Kaur; Dilbag Singh; Sahar Ahmed Idris; Hammam A. Alshazly (IEEE Access, 2021)

Multivariate and Online Prediction of Closing Price Using Kernel Adaptive Filtering. - Shambhavi Mishra; Tanveer Ahmed 001; Vipul Kumar Mishra; Manjit Kaur; Thomas Martinetz; Amit Kumar Jain; Hammam A. Alshazly (Comput. Intell. Neurosci., 2021)

COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans. - Hammam A. Alshazly; Christoph Linse; Mohamed Abdalla; Erhardt Barth; Thomas Martinetz (PeerJ Comput. Sci., 2021)

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning. - Hammam A. Alshazly; Christoph Linse; Erhardt Barth; Thomas Martinetz (Sensors, 2021)

An Expert System for Rotating Machine Fault Detection Using Vibration Signal Analysis. - Ayaz Kafeel; Sumair Aziz; Muhammad Awais 004; Muhammad Attique Khan; Kamran Afaq; Sahar Ahmed Idris; Hammam A. Alshazly; Samih Mohemmed Mostafa (Sensors, 2021)

Data Clustering Using Moth-Flame Optimization Algorithm. - Tribhuvan Singh; Nitin Saxena 002; Manju Khurana; Dilbag Singh; Mohamed Abdalla; Hammam A. Alshazly (Sensors, 2021)

Efficient-SwishNet Based System for Facial Emotion Recognition. - Tarim Dar; Ali Javed; Sami Bourouis; Hany S. Hussein; Hammam A. Alshazly (IEEE Access, 2022)

Smart Communication Using 2D and 3D Mesh Network-on-Chip. - Arpit Jain; Adesh Kumar; Anand Prakash Shukla; Hammam A. Alshazly; Hela Elmannai; Abeer D. Algarni; Roushan Kumar; Jitendra Yadav (Intell. Autom. Soft Comput., 2022)

Deep Neural Network Based Vehicle Detection and Classification of Aerial Images. - Sandeep Kumar; Arpit Jain; Shilpa Rani; Hammam A. Alshazly; Sahar Ahmed Idris; Sami Bourouis (Intell. Autom. Soft Comput., 2022)

A walk in the black-box: 3D visualization of large neural networks in virtual reality. - Christoph Linse; Hammam A. Alshazly; Thomas Martinetz (Neural Comput. Appl., 2022)

Hybrid Dynamic Optimization for Multilevel Security System in Disseminating Confidential Information. - Shahina Anwarul; Sunil Kumar; Ashok Bhansali; Hammam A. Alshazly; Hany S. Hussein (Comput. Syst. Sci. Eng., 2023)

HGRBOL2: Human gait recognition for biometric application using Bayesian optimization and extreme learning machine. - Muhammad Attique Khan; Habiba Arshad; Wazir Zada Khan; Majed Alhaisoni; Usman Tariq; Hany S. Hussein; Hammam A. Alshazly; Lobna Osman; Ahmed Elashry (Future Gener. Comput. Syst., 2023)

A Comprehensive survey on ear recognition: Databases, approaches, comparative analysis, and open challenges. - Amir Benzaoui; Yacine Khaldi; Rafik Bouaouina; Nadia Amrouni; Hammam A. Alshazly; Abdeldjalil Ouahabi (Neurocomputing, 2023)

Knowledge-based deep learning system for classifying Alzheimer's disease for multi-task learning. - Amol Dattatray Dhaygude; Gaurav Kumar Ameta; Ihtiram Raza Khan; Pavitar Parkash Singh; Renato R. Maaliw; Natrayan Lakshmaiya; Mohammad Shabaz; Muhammad Attique Khan; Hany S. Hussein; Hammam A. Alshazly (CAAI Trans. Intell. Technol., 2024)

Emerging advances in deep learning and computer vision for visual data search and mining in E-commerce. - Hammam A. Alshazly; Hela Elmannai; Amir Benzaoui (Electron. Commer. Res., 2025)