MN
majid nour
King Abdulaziz University
Research areas: Engineering · Electrical and Electronic Engineering · Artificial Intelligence in Healthcare · Emotion and Mood Recognition · EEG and Brain-Computer Interfaces
0000-0001-8461-1404
Employment
- 2017 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (42)
- Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN Save
- HOG transformation based feature extraction framework in modified Resnet50 model for brain tumor detection Save
- A Novel Cuffless Blood Pressure Prediction: Uncovering New Features and New Hybrid ML Models Save
- A complex network-based approach for security and governance in the smart green city Save
- Cybersecurity in Hospitals: An Evaluation Model Save
- A Novel Approach to Skin Lesion Segmentation: Multipath Fusion Model with Fusion Loss Save
- Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection Save
- Skin Lesion Segmentation Based on Edge Attention Vnet with Balanced Focal Tversky Loss Save
- A Novel Tilt and Acceleration Measurement System Based on Hall-Effect Sensors Using Neural Networks Save
- A New Generation Communication System Based on Deep Learning Methods for the Process of Modulation and Demodulation from the Modulated Images Save
- Aliasing Black Box Adversarial Attack with Joint Self-Attention Distribution and Confidence Probability Save
- Multi-Modal Sentiment Analysis Based on Multiple Kernel Learning with Margin Dimension Constraint Save
- Retinal Blood Vessels and Optic Disc Segmentation Using U-Net Save
- An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events Save
- A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification Save
- A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals Save
- Design and comparative analysis of ultra-wideband and high directive antennas for THz applications Save
- Random fully connected layered 1D CNN for solving the Z-bus loss allocation problem Save
- Corrigendum to “Automatic Classification of Hypertension Types Based on Personal Features by Machine Learning Algorithms” Save
- A Novel Framework of Two Successive Feature Selection Levels Using Weight-Based Procedure for Voice-Loss Detection in Parkinson’s Disease Save