Majid Kamal A. Nour
Orcid: 0000-0001-8461-1404
According to our database1,
Majid Kamal A. Nour
authored at least 15 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
New approaches to epileptic seizure prediction based on EEG signals using hybrid CNNs.
Int. J. Intell. Eng. Informatics, 2024
A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach.
Biomed. Signal Process. Control., 2024
2023
Morphology properties of scapular spine relative to reverse shoulder arthroplasty: A biomechanical study.
Biomed. Signal Process. Control., August, 2023
Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN.
Comput. Biol. Medicine, July, 2023
A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model.
Expert Syst. Appl., 2023
Aliasing black box adversarial attack with joint self-attention distribution and confidence probability.
Expert Syst. Appl., 2023
A complex network-based approach for security and governance in the smart green city.
Expert Syst. Appl., 2023
Impact of Secondary Control Design on the Microgrid Domain of Stability Considering Reactive Power Sharing.
IEEE Access, 2023
2022
2021
A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals.
Neural Comput. Appl., 2021
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events.
Expert Syst. Appl., 2021
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification.
Expert Syst. Appl., 2021
2020
A healthcare evaluation system based on automated weighted indicators with cross-indicators based learning approach in terms of energy management and cybersecurity.
Int. J. Medical Informatics, 2020
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization.
Appl. Soft Comput., 2020
A Novel Framework of Two Successive Feature Selection Levels Using Weight-Based Procedure for Voice-Loss Detection in Parkinson's Disease.
IEEE Access, 2020