Alaa S. Al-Waisy

According to our database, Alaa S. Al-Waisy authored at least 13 papers between 2015 and 2024.

Collaborative distances:

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

2024

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

Shumoos Al-Fahdawi, Alaa S. Al-Waisy, Diyar Qader Zeebaree, Rami Qahwaji, Hayder Natiq, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Muhammet Deveci

Inf. Fusion, February, 2024

2022

Identifying defective solar cells in electroluminescence images using deep feature representations.

Alaa S. Al-Waisy, Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, Shumoos Hammadi, Hussam J. Mohammed, Mazin Abed Mohammed, Robertas Damasevicius

PeerJ Comput. Sci., 2022

Adaptive Deep Learning Detection Model for Multi- Foggy Images.

Zainab Hussein Arif, Moamin A. Mahmoud, Karrar Hameed Abdulkareem, Seifedine Kadry, Mazin Abed Mohammed, Mohammed Nasser Al-Mhiqani, Alaa S. Al-Waisy, Jan Nedoma

Int. J. Interact. Multim. Artif. Intell., 2022

2021

A modern deep learning framework in robot vision for automated bean leaves diseases detection.

Sudad H. Abed, Alaa S. Al-Waisy, Hussam J. Mohammed, Shumoos Al-Fahdawi

Int. J. Intell. Robotics Appl., 2021

2020

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

Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Alaa S. Al-Waisy, Salama A. Mostafa, Shumoos Al-Fahdawi, Ahmed Musa Dinar, Wajdi Alhakami, Abdullah Baz, Mohammed Nasser Al-Mhiqani, Hosam Alhakami, Nureize Arbaiy, Mashael S. Maashi, Ammar Awad Mutlag, Begoña García Zapirain, Isabel de la Torre Díez

IEEE Access, 2020

2018

A multi-biometric iris recognition system based on a deep learning approach.

Alaa S. Al-Waisy, Rami Qahwaji, Stanley S. Ipson, Shumoos Al-Fahdawi, Tarek A. M. Nagem

Pattern Anal. Appl., 2018

A multimodal deep learning framework using local feature representations for face recognition.

Alaa S. Al-Waisy, Rami Qahwaji, Stanley S. Ipson, Shumoos Al-Fahdawi

Mach. Vis. Appl., 2018

A fully automated cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphology.

Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stanley S. Ipson, Maryam Ferdousi, Rayaz A. Malik, Arun Brahma

Comput. Methods Programs Biomed., 2018

2017

A multimodal biometrie system for personal identification based on deep learning approaches.

Alaa S. Al-Waisy, Rami Qahwaji, Stanley S. Ipson, Shumoos Al-Fahdawi

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.

Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stanley S. Ipson, Rayaz A. Malik, Arun Brahma, Xin Chen

Comput. Methods Programs Biomed., 2016

2015

A Fast and Accurate Iris Localization Technique for Healthcare Security System.

Alaa S. Al-Waisy, Rami Qahwaji, Stanley S. Ipson, Shumoos Al-Fahdawi

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.

Alaa S. Al-Waisy, Rami Qahwaji, Stanley S. Ipson, Shumoos Al-Fahdawi

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.

Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stan Ipson

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015