CV | Majed Mahmood Yaqoub Farrash | Umm Al-Qura University

Current Positions

وكيل عمادة تقنية المعلومات والتعليم الإلكتروني للشؤون التقنية

Deanship of Information Technology and E-Learning

Social Networks

Qualifications

الدكتوراه

2016

البرمجة وعلوم الحاسب

جامعة إيست انجليا | بريطانيا

الماجستير

1429

البرمجة وعلوم الحاسب

East Anglia university | بريطانيا

البكالوريوس

1425

البرمجة وعلوم الحاسب

جامعة الملك عبدالعزيز | المملكة العربية السعودية

Scientific Research

عبدالله قاسم لأبحاث الجامعة وادارة الانظمه

2026

مقال في مجلة | احمد خليفة | rgegfe

أكثر

MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature

2024

مقال في مجلة | MDPI | bioengineering

DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization

2024

مقال في مجلة | PLOS One | PLOS ONE

Multi-Deep Learning Approach With Transfer Learning for 7-Stages Diabetic Retinopathy Classification

2024

مقال في مجلة | wiley | The International Journal of Imaging Systems and Technology

An explainable multi-objective hybrid machine learning model for reducing heart failure mortality

2025

مقال في مجلة | PeerJ | PeerJ Computer Science

Enhancing Alzheimer’s disease diagnosis and staging: a multistage CNN framework using MRI

2024

مقال في مجلة | FRONTIERS MEDIA SA | Frontiers in Psychiatry

Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with two-dimensional convolutional neural network

2023

مقال في مجلة | TAYLOR & FRANCIS INC | JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

Enhancing Oral Squamous Cell Carcinoma Detection Using Histopathological Images: A Deep Feature Fusion and Improved Haris Hawks Optimization-Based Framework

2024

مقال في مجلة | MDPI | Bioengineering-Basel

A Dynamic Selection Hybrid Model for Advancing Thyroid Care With BOO-ST Balancing Method

2024

مقال في مجلة | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | IEEE Access

Application of Unsupervised Learning and Data Clustering to Saudi Online Stores

2023

ورقة مؤتمر | IEEE | 2022 Fifth National Conference of Saudi Computers Colleges (NCCC)

أكثر

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CV

Qualifications

الدكتوراه

الماجستير

البكالوريوس

Scientific Research

عبدالله قاسم لأبحاث الجامعة وادارة الانظمه

MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature

DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization

Multi-Deep Learning Approach With Transfer Learning for 7-Stages Diabetic Retinopathy Classification

An explainable multi-objective hybrid machine learning model for reducing heart failure mortality

Enhancing Alzheimer’s disease diagnosis and staging: a multistage CNN framework using MRI

Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with two-dimensional convolutional neural network

Enhancing Oral Squamous Cell Carcinoma Detection Using Histopathological Images: A Deep Feature Fusion and Improved Haris Hawks Optimization-Based Framework

A Dynamic Selection Hybrid Model for Advancing Thyroid Care With BOO-ST Balancing Method

Application of Unsupervised Learning and Data Clustering to Saudi Online Stores

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