Abdullah M. Albarrak
Riyadh, 11432, Saudi Arabia
Last Updated: 09/26/2026
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Found 18 publications
A Hybrid Deep Autoencoders and Random Forest Framework for False Data Injection Attack Detection in Industrial Internet of Things Networks.
Journal: Sensors (Basel, Switzerland)
Published: June 04, 2026
EDCC-RPL: A novel energy-efficient and load-balanced objective function for RPL Routing in IoT networks enhancing network lifetime and reliability.
Journal: PloS one
Published: September 06, 2025
Detection and Classification of Unhealthy Heartbeats Using Deep Learning Techniques.
Journal: Sensors (Basel, Switzerland)
Published: August 13, 2025
TL-PneuNet: a transfer learning-based pneumonia classification framework.
Journal: Scientific reports
Published: August 03, 2025
SMENN-hybrid: an efficient technique combining the synthetic minority oversampling technique with ensemble learning for diabetes prediction.
Journal: Scientific reports
Published: June 20, 2025
Hybrid of VGG-16 and FTVT-b16 Models to Enhance Brain Tumors Classification Using MRI Images.
Journal: Diagnostics (Basel, Switzerland)
Published: May 21, 2025
An MRI based histogram oriented gradient and deep learning approach for accurate classification of mild cognitive impairment and Alzheimer's disease.
Journal: Frontiers in medicine
Published: November 17, 2024
A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain-Computer Interfaces to Enhance Motor Imagery Classification.
Journal: Sensors (Basel, Switzerland)
Published: October 24, 2024
A Hybrid Deep Learning Model with Data Augmentation to Improve Tumor Classification Using MRI Images.
Journal: Diagnostics (Basel, Switzerland)
Published: September 20, 2024
An Ensemble Machine Learning and Data Mining Approach to Enhance Stroke Prediction.
Journal: Bioengineering (Basel, Switzerland)
Published: May 18, 2024
Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases.
Journal: Diagnostics (Basel, Switzerland)
Published: November 27, 2023
Last Updated: 09/26/2026