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 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Knowledge-based deep learning system for classifying Alzheimer's disease for multi-task learning.
CAAI Trans. Intell. Technol., 2024

2023
A Comprehensive survey on ear recognition: Databases, approaches, comparative analysis, and open challenges.
Neurocomputing, June, 2023

HGRBOL<sup>2</sup>: Human gait recognition for biometric application using Bayesian optimization and extreme learning machine.
Future Gener. Comput. Syst., June, 2023

Hybrid Dynamic Optimization for Multilevel Security System in Disseminating Confidential Information.
Comput. Syst. Sci. Eng., 2023

2022
A walk in the black-box: 3D visualization of large neural networks in virtual reality.
Neural Comput. Appl., 2022

Efficient-SwishNet Based System for Facial Emotion Recognition.
IEEE Access, 2022

2021
Data Clustering Using Moth-Flame Optimization Algorithm.
Sensors, 2021

An Expert System for Rotating Machine Fault Detection Using Vibration Signal Analysis.
Sensors, 2021

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning.
Sensors, 2021

COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans.
PeerJ Comput. Sci., 2021

Multivariate and Online Prediction of Closing Price Using Kernel Adaptive Filtering.
Comput. Intell. Neurosci., 2021

A Novel Binary Seagull Optimizer and its Application to Feature Selection Problem.
IEEE Access, 2021

Diabetic Retinopathy Diagnosis From Fundus Images Using Stacked Generalization of Deep Models.
IEEE Access, 2021

Towards Explainable Ear Recognition Systems Using Deep Residual Networks.
IEEE Access, 2021

2020
Robust local oriented patterns for ear recognition.
Multim. Tools Appl., 2020

Deep Convolutional Neural Networks for Unconstrained Ear Recognition.
IEEE Access, 2020

2019
Analysis and Evaluation of Keypoint Descriptors for Image Matching.
Proceedings of the Recent Advances in Computer Vision - Theories and Applications, 2019

Handcrafted versus CNN Features for Ear Recognition.
Symmetry, 2019

Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition.
Sensors, 2019

Ear recognition using local binary patterns: A comparative experimental study.
Expert Syst. Appl., 2019

2018
Ear Biometric Recognition Using Gradient-Based Feature Descriptors.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

2017
An Experimental Evaluation of Binary Feature Descriptors.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, 2017


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