Abdullah Al Hejaili

Orcid: 0000-0003-3234-1937

According to our database1, Abdullah Al Hejaili authored at least 26 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

Fine-Tuned Extra Tree Classifier for Thermal Comfort Sensation Prediction.
Comput. Syst. Sci. Eng., 2024

Suspicious Human Activity Recognition From Surveillance Videos Using Deep Learning.
IEEE Access, 2024

Multi-Class Adaptive Active Learning for Predicting Student Anxiety.
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

IoT based smart home automation using blockchain and deep learning models.
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

CD-FL: Cataract Images Based Disease Detection Using Federated Learning.
Comput. Syst. Sci. Eng., 2023

Ensemble Learning for Fetal Health Classification.
Comput. Syst. Sci. Eng., 2023

An Ensemble Machine Learning Technique for Stroke Prognosis.
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
Latent Feature Modelling for Recommender Systems.
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020


  Loading...