A5115821496- Radiomics and Machine Learning in Medical Imaging
- Brain Tumor Detection and Classification
- Water Quality Monitoring Technologies
- Intracerebral and Subarachnoid Hemorrhage Research
- Machine Learning in Healthcare
- Organizational and Employee Performance
- Machine Learning and ELM
- Energy Harvesting in Wireless Networks
- Glioma Diagnosis and Treatment
- Smart Grid Security and Resilience
- Advanced MIMO Systems Optimization
- Wireless Communication Security Techniques
- Anomaly Detection Techniques and Applications
- Internet of Things and AI
- Water Quality Monitoring and Analysis
- Network Security and Intrusion Detection
- Epigenetics and DNA Methylation
Majmaah University
2021-2023
Accurate radiogenomic classification of brain tumors is important to improve the standard diagnosis, prognosis, and treatment planning for patients with glioblastoma. In this study, we propose a novel two-stage MGMT Promoter Methylation Prediction (MGMT-PMP) system that extracts latent features fused radiomic predicting genetic subtype A fine-tuned deep learning architecture, namely Deep Learning Radiomic Feature Extraction (DLRFE) module, proposed feature extraction fuses quantitative...
Intracranial haemorrhage (ICH) has become a critical healthcare emergency that needs accurate assessment and earlier diagnosis. Due to the high rates of mortality (about 40%), early classification detection diseases through computed tomography (CT) images were needed guarantee better prognosis control occurrence neurologic deficiencies. Generally, in diagnoses test for severe ICH, CT imaging brain was implemented department. Meanwhile, manual are labour-intensive, automatic ICH recognition...
Antibiotics become an emerging contaminant and receive more interests due to its ecotoxicological strong stability in water ecosystems. Antibiotic adsorption onto carbon materials are biochars among the wastewater mechanisms. This research used machine learning (ML) techniques generate general forecasting model for sulfamethoxazole (SMX) tetracycline (TC) on CBM. Dirichlet design parameters a combined combination of Neumann boundary situation applied system differential equations. In...
Secure and reliable wireless communication systems are essential for the successful integration of smart grid-enabled communications Industry 5.0 applications. This work proposes a hybrid precoding design secure smart-grid multiple-input multiple-output (MIMO) in to maximize average secrecy capacity system while minimizing user outages crucial maintaining security privacy sensitive data critical infrastructure. To achieve this, we develop mathematical model that considers impact various...
The current study aimed to identify the importance of Internet Things implementation in education, where is modern technological application that has captured entire world by linking different beings with each other without human intervention. seeks help Ministry Higher Education Sudan reduce obstacles, difficulties and emergency conditions facing educational process such as Coronavirus pandemic, know appropriate alternatives can improving outcomes now future. To achieve goals study, a...