Research 

1. Employing Deep Convolutional Network in Human Protein Subcellular Localization

👥 S Abuayied, W Alhakami, T Alsubait, H Alhakami‏
📅 Year: 2021       

📄 Abstract:
This research focuses on applying deep convolutional neural networks to classify protein subcellular localization using the Human Protein Atlas dataset. The study compares the performance of Inception-ResNet-V2, ResNet-50, and Xception models, achieving the highest accuracy of 78% with Inception-ResNet-V2

2. Predicting the Relation between Education Level, Age, and Alzheimer’s Disease by Simple Linear Regression      

👥 S Abuayeid, H Alhakami, A Baz, T Alsubait
📅 Year: 2021      Published Version      

📄 Abstract:
This study analyzes the relationship between Alzheimer’s Disease (AD) and two key factors: education level (modifiable) and age (non-modifiable), using publicly available datasets. Results show that education level negatively affects AD patients when multiple risk factors 

3. Integrating Social Media Analytics in Predicting the Most Affected Indian Regions by the COVID-19 Pandemic

👥 S Abuayeid, F Alajlan, A Alghamdi
📅 Year: 2021

📄 Abstract:
This research explores social media analytics during the COVID-19 pandemic to predict the most affected regions in India. The study integrates multiple datasets from Twitter, Google Trends, and Google Maps and applies machine learning models to identify patterns 

4. Care Cost Prediction Model for Orphanage Organizations in Saudi Arabia

👥 Huda N. Alhazmi, Alshymaa Alghamdi, Fatimah Alajlani, Samah Abuayeid, Fahd M. Aldosari
📅 Year: 2021          Published Version 

📄 Abstract (Short):
This study develops a predictive model for estimating the cost of care services in orphanage organizations in Saudi Arabia. Using statistical and machine learning techniques, the model identifies key cost-influencing factors and achieves high accuracy with the Naive Bayes algorithm.

5. Predicting Hospitals' Hygiene Rate During the COVID-19 Pandemic

👥 Abdulrahman M. Qahtani, Bader M. Alouffi, Hosam Alhakami, Samah Abuayeid, Abdullah Baz
📅 Year: 2020         Published Version 

📄 Abstract:
This research focuses on predicting hospital hygiene rates during the COVID-19 pandemic using data analytics and machine learning approaches. It highlights the importance of monitoring healthcare facility hygiene to reduce infection risks and improve overall safety standards 

6.Comparative Analysis of Spark and Ignite for Big Spatial Data Processing

👥 Samah Abuayeid, Louai Alarabi
📅 Year: 2021            Published Version 

📄 Abstract (Short):
This research presents a comparative study between Apache Spark and Apache Ignite for large-scale spatial data processing. It evaluates performance, scalability, and efficiency to identify the most suitable framework for handling big spatial datasets.

7.Implementing Blockchain in the Airline Sector

👥 Samah Abuayeid, Fatimah Alajlan, Alshymaa Alghamdi
📅 Year: 2021            Published Version 

📄 Abstract (Short):
This study explores the integration of blockchain technology in the airline sector to enhance security, transparency, and operational efficiency. It highlights potential use cases such as ticketing, baggage tracking, and secure data management.