Shumoos Al-Fahdawi

Orcid: 0000-0002-3201-5288

According to our database1, Shumoos Al-Fahdawi authored at least 11 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Fundus-DeepNet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images.
Inf. Fusion, February, 2024

2021
A modern deep learning framework in robot vision for automated bean leaves diseases detection.
Int. J. Intell. Robotics Appl., 2021

2020
Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods.
IEEE Access, 2020

2018
A multi-biometric iris recognition system based on a deep learning approach.
Pattern Anal. Appl., 2018

A multimodal deep learning framework using local feature representations for face recognition.
Mach. Vis. Appl., 2018

A fully automated cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphology.
Comput. Methods Programs Biomed., 2018

2017
A multimodal biometrie system for personal identification based on deep learning approaches.
Proceedings of the Seventh International Conference on Emerging Security Technologies, 2017

2016
A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images.
Comput. Methods Programs Biomed., 2016

2015
A Fast and Accurate Iris Localization Technique for Healthcare Security System.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

A Robust Face Recognition System Based on Curvelet and Fractal Dimension Transforms.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

An Automatic Corneal Subbasal Nerve Registration System Using FFT and Phase Correlation Techniques for an Accurate DPN Diagnosis.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015


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