Hammam A. Alshazly

According to our database, Hammam A. Alshazly authored at least 28 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A novel federated swarm learning for increased resilience in latency-aware cloud-native applications.

Pooja Batra Nagpal, Sunil Kumar, Ankit Khare, Venkatadri Marriboina, Ambika Aggarwal, Hammam A. Alshazly

Neural Comput. Appl., March, 2026

HCIQ: A hybrid CNN and image quality assessment framework for robust ear presentation attack detection.

Hammam A. Alshazly, Amany Asaad, Hany A. Atallah, Vijay Kumar, Abdallah Namoun

Expert Syst. Appl., 2026

2025

Revolutionizing microbial classification: leveraging machine learning for enhanced classification with feature-based data.

Saddam Bekhet, Fahad K. Alsheref, Amr M. AbdelAziz, Hammam A. Alshazly

Multim. Tools Appl., November, 2025

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., August, 2025

2024

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

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, June, 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., June, 2023

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

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

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

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

Efficient-SwishNet Based System for Facial Emotion Recognition.

Tarim Dar, Ali Javed, Sami Bourouis, Hany S. Hussein, Hammam A. Alshazly

IEEE Access, 2022

2021

Data Clustering Using Moth-Flame Optimization Algorithm.

Tribhuvan Singh, Nitin Saxena, Manju Khurana, Dilbag Singh, Mohamed Abdalla, Hammam A. Alshazly

Sensors, 2021

An Expert System for Rotating Machine Fault Detection Using Vibration Signal Analysis.

Ayaz Kafeel, Sumair Aziz, Muhammad Awais, Muhammad Attique Khan, Kamran Afaq, Sahar Ahmed Idris, Hammam A. Alshazly, Samih Mohemmed Mostafa

Sensors, 2021

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning.

Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz

Sensors, 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

Multivariate and Online Prediction of Closing Price Using Kernel Adaptive Filtering.

Shambhavi Mishra, Tanveer Ahmed, Vipul Kumar Mishra, Manjit Kaur, Thomas Martinetz, Amit Kumar Jain, Hammam A. Alshazly

Comput. Intell. Neurosci., 2021

A Novel Binary Seagull Optimizer and its Application to Feature Selection Problem.

Vijay Kumar, Dinesh Kumar, Manjit Kaur, Dilbag Singh, Sahar Ahmed Idris, Hammam A. Alshazly

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

Towards Explainable Ear Recognition Systems Using Deep Residual Networks.

Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Sahar Ahmed Idris, Thomas Martinetz

IEEE Access, 2021

2020

Robust local oriented patterns for ear recognition.

Mahmoud Hassaballah, Hammam A. Alshazly, Abdelmgeid A. Ali

Multim. Tools Appl., 2020

Deep Convolutional Neural Networks for Unconstrained Ear Recognition.

Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz

IEEE Access, 2020

2019

Analysis and Evaluation of Keypoint Descriptors for Image Matching.

M. Hassaballah, Hammam A. Alshazly, Abdelmgeid A. Ali

Proceedings of the Recent Advances in Computer Vision - Theories and Applications, 2019

Handcrafted versus CNN Features for Ear Recognition.

Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz

Symmetry, 2019

Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition.

Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz

Sensors, 2019

Ear recognition using local binary patterns: A comparative experimental study.

M. Hassaballah, Hammam A. Alshazly, Abdelmgeid A. Ali

Expert Syst. Appl., 2019

2018

Ear Biometric Recognition Using Gradient-Based Feature Descriptors.

Hammam A. Alshazly, M. Hassaballah, Mourad Ahmed, Abdelmgeid A. Ali

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

2017

An Experimental Evaluation of Binary Feature Descriptors.

Hammam A. Alshazly, M. Hassaballah, Abdelmgeid A. Ali, G. Wang

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, 2017