Mohamed Mahyoub

According to our database, Mohamed Mahyoub authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Data Augmentation Using Generative Adversarial Networks to Reduce Data Imbalance with Application in Car Damage Detection.

Mohamed Mahyoub, Friska Natalia, Sud Sudirman, Panos Liatsis, Abdulmajeed Hammadi Jasim Al-Jumaily

Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Brain Tumor Segmentation in Fluid-Attenuated Inversion Recovery Brain MRI using Residual Network Deep Learning Architectures.

Mohamed Mahyoub, Friska Natalia, Sud Sudirman, Abdulmajeed Hammadi Jasim Al-Jumaily, Panos Liatsis

Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks.

Mohamed Mahyoub, Friska Natalia, Sud Sudirman, Abdulmajeed Hammadi Jasim Al-Jumaily, Panos Liatsis

Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

A Novel Predictive Model for Housing Loan Default using Feature Generation and Explainable AI.

Mohamed Mahyoub, Shatha Ghareeb, Jamila Mustafina

Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Abstract Pattern Image Generation using Generative Adversarial Networks.

Mohamed Mahyoub, Sadiq H. Abdulhussain, Friska Natalia, Sud Sudirman, Basheera M. Mahmmod

Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

2022

Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches.

Rhul Talreja, Thomas Coombs, Sulaf Assi, Noor Azma Ismail, Manoj Jayabalan, Panagiotis Liatsis, Mohamed Mahyoub, Abdullah Al-Hamid, Hoshang Kolivand

Proceedings of the Data Science and Emerging Technologies, 2022

Loan Default Forecasting Using StackNet.

Saket Satpute, Manoj Jayabalan, Hoshang Kolivand, Jolnar Assi, Omar A. Aldhaibani, Panagiotis Liatsis, Paridah Daud, Ali Al-Ataby, Wasiq Khan, Ahmed Kaky, Sahar Al-Sudani, Mohamed Mahyoub

Proceedings of the Data Science and Emerging Technologies, 2022

2019

A machine learning classification framework for early prediction of Alzheimer's disease.

Mohamed Mahyoub

PhD thesis, 2019

Hierarchical Text Clustering and Categorisation Using a Semi-Supervised Framework.

Mohamed Mahyoub, Jade Hind, David Woods, Carl Wong, Abir Hussain, Dhiya Al-Jumeily

Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

Automatic Stopword Detection Using Term Ranking between Written and Machine Speech Recognition Transcribed Reviews.

Jade J. K. Hind, Mohamed Mahyoub, David Woods, Carl Wong, Abir Hussain, Dhiya Al-Jumeily

Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

2018

Effective Use of Data Science Toward Early Prediction of Alzheimer's Disease.

Mohamed Mahyoub, Martin Randles, Thar Baker, Po Yang

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Comparison Analysis of Machine Learning Algorithms to Rank Alzheimer's Disease Risk Factors by Importance.

Mohamed Mahyoub, Martin Randles, Thar Baker, Po Yang

Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018