Hammam A. Alshazly

Orcid: 0000-0002-9942-8642

Affiliations:

University of Lübeck, Institute for Neuro- and Bioinformatics, Germany
South Valley University, Faculty of Science, Qena, Egypt (PhD 2018)

According to our database¹, Hammam A. Alshazly authored at least 21 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

A Comprehensive survey on ear recognition: Databases, approaches, comparative analysis, and open challenges.

[BibT_eX]

[DOI]

Neurocomputing, June, 2023

HGRBOL<sup>2</sup>: Human gait recognition for biometric application using Bayesian optimization and extreme learning machine.

[BibT_eX]

[DOI]

Muhammad Attique Khan

Future Gener. Comput. Syst., June, 2023

Hybrid Dynamic Optimization for Multilevel Security System in Disseminating Confidential Information.

[BibT_eX]

[DOI]

Comput. Syst. Sci. Eng., 2023

2022

A walk in the black-box: 3D visualization of large neural networks in virtual reality.

[BibT_eX]

[DOI]

Christoph Linse

Hammam A. Alshazly

Thomas Martinetz

Neural Comput. Appl., 2022

Efficient-SwishNet Based System for Facial Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Access, 2022

2021

Data Clustering Using Moth-Flame Optimization Algorithm.

[BibT_eX]

[DOI]

Sensors, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sensors, 2021

COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2021

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

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2021

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

[BibT_eX]

[DOI]

IEEE Access, 2021

Diabetic Retinopathy Diagnosis From Fundus Images Using Stacked Generalization of Deep Models.

[BibT_eX]

[DOI]

IEEE Access, 2021

Towards Explainable Ear Recognition Systems Using Deep Residual Networks.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Robust local oriented patterns for ear recognition.

[BibT_eX]

[DOI]

Mahmoud Hassaballah

Hammam A. Alshazly

Abdelmgeid A. Ali

Multim. Tools Appl., 2020

Deep Convolutional Neural Networks for Unconstrained Ear Recognition.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Analysis and Evaluation of Keypoint Descriptors for Image Matching.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Symmetry, 2019

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

[BibT_eX]

[DOI]

Sensors, 2019

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

[BibT_eX]

[DOI]

M. Hassaballah

Hammam A. Alshazly

Abdelmgeid A. Ali

Expert Syst. Appl., 2019

2018

Ear Biometric Recognition Using Gradient-Based Feature Descriptors.

[BibT_eX]

[DOI]

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

2017

An Experimental Evaluation of Binary Feature Descriptors.

[BibT_eX]

[DOI]

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

Hammam A. Alshazly

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