Abdullah Al Hejaili
Orcid: 0000-0003-3234-1937
According to our database1,
Abdullah Al Hejaili
authored at least 26 papers
between 2020 and 2024.
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Bibliography
2024
An efficient deep recurrent neural network for detection of cyberattacks in realistic IoT environment.
J. Supercomput., July, 2024
Optimizing Multi-Tier Cellular Networks With Deep Learning for 6G Consumer Electronics Communications.
IEEE Trans. Consumer Electron., February, 2024
Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks.
PeerJ Comput. Sci., 2024
Spectral graph convolutional neural network for Alzheimer's disease diagnosis and multi-disease categorization from functional brain changes in magnetic resonance images.
Frontiers Neuroinformatics, 2024
Correction: Fine-Tuned Extra Tree Classifier for Thermal Comfort Sensation Prediction.
Comput. Syst. Sci. Eng., 2024
Comput. Syst. Sci. Eng., 2024
IEEE Access, 2024
IEEE Access, 2024
Advancing Healthcare and Elderly Activity Recognition: Active Machine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition.
IEEE Access, 2024
Securing Data From Side-Channel Attacks: A Graph Neural Network-Based Approach for Smartphone-Based Side Channel Attack Detection.
IEEE Access, 2024
Active-Darknet: An Iterative Learning Approach for Darknet Traffic Detection and Categorization.
IEEE Access, 2024
Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection.
IEEE Access, 2024
Active Machine Learning for Heterogeneity Activity Recognition Through Smartwatch Sensors.
IEEE Access, 2024
2023
SkinNet-ENDO: Multiclass skin lesion recognition using deep neural network and Entropy-Normal distribution optimization algorithm with ELM.
Int. J. Imaging Syst. Technol., July, 2023
Face mask detection using deep convolutional neural network and multi-stage image processing.
Image Vis. Comput., May, 2023
A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton-Raphson-Based Feature Selection Approach for Human Gait Recognition.
Sensors, March, 2023
PeerJ Comput. Sci., 2023
TS2HGRNet: A paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities.
Future Gener. Comput. Syst., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Graph Neural Network for Smartphone Recommendation System: A Sentiment Analysis Approach for Smartphone Rating.
IEEE Access, 2023
A Novel Federated Edge Learning Approach for Detecting Cyberattacks in IoT Infrastructures.
IEEE Access, 2023
2022
Expressive Latent Feature Modelling for Explainable Matrix Factorisation-based Recommender Systems.
ACM Trans. Interact. Intell. Syst., 2022
An efficient computer vision-based approach for acute lymphoblastic leukemia prediction.
Frontiers Comput. Neurosci., 2022
2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020