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Abdullah M Albarrak

Showing results (1-10 of 15) with videos related to

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Diagnostics (Basel, Switzerland)|June 10, 2023
Determining a Trustworthy Application for Medical Data Visualizations through a Knowledge-Based Fuzzy Expert SystemAbdullah M Albarrak
Diagnostics (Basel, Switzerland)|May 27, 2023
Improving the Trustworthiness of Interactive Visualization Tools for Healthcare Data through a Medical Fuzzy Expert SystemAbdullah M Albarrak
Sensors (Basel, Switzerland)|October 16, 2025
Detection and Classification of Unhealthy Heartbeats Using Deep Learning TechniquesAbdullah M Albarrak, Raneem Alharbi, Ibrahim A Ibrahim
Sensors (Basel, Switzerland)|January 25, 2025
A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain-Computer Interfaces to Enhance Motor Imagery ClassificationSouheyl Mallat, Emna Hkiri, Abdullah M Albarrak, et al.
Frontiers in Medicine|September 25, 2025
An MRI based histogram oriented gradient and deep learning approach for accurate classification of mild cognitive impairment and Alzheimer's diseaseArunnehru J, Shakir Khan, Anwar Basha H, et al.
Diagnostics (Basel, Switzerland)|January 22, 2024
Machine Learning-Based Predictive Models for Detection of Cardiovascular DiseasesAdedayo Ogunpola, Faisal Saeed, Shadi Basurra, et al.
Bioengineering (Basel, Switzerland)|July 27, 2024
An Ensemble Machine Learning and Data Mining Approach to Enhance Stroke PredictionRichard Wijaya, Faisal Saeed, Parnia Samimi, et al.
Diagnostics (Basel, Switzerland)|August 28, 2025
Hybrid of VGG-16 and FTVT-b16 Models to Enhance Brain Tumors Classification Using MRI ImagesEman M Younis, Ibrahim A Ibrahim, Mahmoud N Mahmoud, et al.
Scientific Reports|December 3, 2025
SMENN-hybrid: an efficient technique combining the synthetic minority oversampling technique with ensemble learning for diabetes predictionEssam H Houssein, Ibrahim A Ibrahim, Amir Mostafa, et al.
Diagnostics (Basel, Switzerland)|December 17, 2024
A Hybrid Deep Learning Model with Data Augmentation to Improve Tumor Classification Using MRI ImagesEman M G Younis, Mahmoud N Mahmoud, Abdullah M Albarrak, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Diagnostics (Basel, Switzerland)|June 10, 2023
Determining a Trustworthy Application for Medical Data Visualizations through a Knowledge-Based Fuzzy Expert SystemAbdullah M Albarrak
Diagnostics (Basel, Switzerland)|May 27, 2023
Improving the Trustworthiness of Interactive Visualization Tools for Healthcare Data through a Medical Fuzzy Expert SystemAbdullah M Albarrak
Sensors (Basel, Switzerland)|October 16, 2025
Detection and Classification of Unhealthy Heartbeats Using Deep Learning TechniquesAbdullah M Albarrak, Raneem Alharbi, Ibrahim A Ibrahim
Sensors (Basel, Switzerland)|January 25, 2025
A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain-Computer Interfaces to Enhance Motor Imagery ClassificationSouheyl Mallat, Emna Hkiri, Abdullah M Albarrak, et al.
Frontiers in Medicine|September 25, 2025
An MRI based histogram oriented gradient and deep learning approach for accurate classification of mild cognitive impairment and Alzheimer's diseaseArunnehru J, Shakir Khan, Anwar Basha H, et al.
Diagnostics (Basel, Switzerland)|January 22, 2024
Machine Learning-Based Predictive Models for Detection of Cardiovascular DiseasesAdedayo Ogunpola, Faisal Saeed, Shadi Basurra, et al.
Bioengineering (Basel, Switzerland)|July 27, 2024
An Ensemble Machine Learning and Data Mining Approach to Enhance Stroke PredictionRichard Wijaya, Faisal Saeed, Parnia Samimi, et al.
Diagnostics (Basel, Switzerland)|August 28, 2025
Hybrid of VGG-16 and FTVT-b16 Models to Enhance Brain Tumors Classification Using MRI ImagesEman M Younis, Ibrahim A Ibrahim, Mahmoud N Mahmoud, et al.
Scientific Reports|December 3, 2025
SMENN-hybrid: an efficient technique combining the synthetic minority oversampling technique with ensemble learning for diabetes predictionEssam H Houssein, Ibrahim A Ibrahim, Amir Mostafa, et al.
Diagnostics (Basel, Switzerland)|December 17, 2024
A Hybrid Deep Learning Model with Data Augmentation to Improve Tumor Classification Using MRI ImagesEman M G Younis, Mahmoud N Mahmoud, Abdullah M Albarrak, et al.
Pageof 2