Abdullah Al Hejaili

According to our database, Abdullah Al Hejaili authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks.

Sidra Abbas, Imen Bouazzi, Stephen Ojo, Abdullah Al Hejaili, Gabriel Avelino R. Sampedro, Ahmad S. Almadhor, Michal Gregus

PeerJ Comput. Sci., 2024

Fine-Tuned Extra Tree Classifier for Thermal Comfort Sensation Prediction.

Ahmad S. Almadhor, Chitapong Wechtaisong, Usman Tariq, Natalia Kryvinska, Abdullah Al Hejaili, Uzma Ghulam Mohammad, Mohana S. Alanazi

Comput. Syst. Sci. Eng., 2024

Advancing Healthcare and Elderly Activity Recognition: Active Machine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition.

Sidra Abbas, Gabriel Avelino R. Sampedro, Shtwai Alsubai, Stephen Ojo, Ahmad S. Almadhor, Abdullah Al Hejaili, Lubomira Strazovska

IEEE Access, 2024

Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection.

Sidra Abbas, Imen Bouazzi, Stephen Ojo, Gabriel Avelino R. Sampedro, Ahmad S. Almadhor, Abdullah Al Hejaili, Zuzana Stolicna

IEEE Access, 2024

Active Machine Learning for Heterogeneity Activity Recognition Through Smartwatch Sensors.

Sidra Abbas, Shtwai Alsubai, Muhammad Ibrar-ul-Haque, Gabriel Avelino R. Sampedro, Ahmad S. Almadhor, Abdullah Al Hejaili, Iryna Ivanochko

IEEE Access, 2024

2023

SkinNet-ENDO: Multiclass skin lesion recognition using deep neural network and Entropy-Normal distribution optimization algorithm with ELM.

Muhammad Attique Khan, Tallha Akram, Yudong Zhang, Majed Alhaisoni, Abdullah Al Hejaili, Khalid Adel Shaban, Usman Tariq, Muhammad H. Zayyan

Int. J. Imaging Syst. Technol., July, 2023

Face mask detection using deep convolutional neural network and multi-stage image processing.

Muhammad Umer, Saima Sadiq, Reemah M. Alhebshi, Shtwai Alsubai, Abdullah Al Hejaili, Alá Abdulmajid Eshmawi, Michele Nappi, Imran Ashraf

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.

Faiza Jahangir, Muhammad Attique Khan, Majed Alhaisoni, Abdullah Alqahtani, Shtwai Alsubai, Mohemmed Sha, Abdullah Al Hejaili, Jaehyuk Cha

Sensors, March, 2023

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

Muhammad Umer, Saima Sadiq, Reemah M. Alhebshi, Maha Farouk Sabir, Shtwai Alsubai, Abdullah Al Hejaili, Mashael M. Khayyat, Alá Abdulmajid Eshmawi, Abdullah Mohamed

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.

Muhammad Attique Khan, Asif Mehmood, Seifedine Kadry, Nouf Abdullah Almujally, Majed Alhaisoni, Jamel Baili, Abdullah Al Hejaili, Abed Alanazi, Shtwai Alsubai, Abdullah Alqahtani

Future Gener. Comput. Syst., 2023

CD-FL: Cataract Images Based Disease Detection Using Federated Learning.

Arfat Ahmad Khan, Shtwai Alsubai, Chitapong Wechtaisong, Ahmad S. Almadhor, Natalia Kryvinska, Abdullah Al Hejaili, Uzma Ghulam Mohammad

Comput. Syst. Sci. Eng., 2023

Ensemble Learning for Fetal Health Classification.

Mesfer Al Duhayyim, Sidra Abbas, Abdullah Al Hejaili, Natalia Kryvinska, Ahmad S. Almadhor, Huma Mughal

Comput. Syst. Sci. Eng., 2023

An Ensemble Machine Learning Technique for Stroke Prognosis.

Mesfer Al Duhayyim, Sidra Abbas, Abdullah Al Hejaili, Natalia Kryvinska, Ahmad S. Almadhor, Uzma Ghulam Mohammad

Comput. Syst. Sci. Eng., 2023

Graph Neural Network for Smartphone Recommendation System: A Sentiment Analysis Approach for Smartphone Rating.

Stephen Ojo, Sidra Abbas, Mehrez Marzougui, Gabriel Avelino R. Sampedro, Ahmad S. Almadhor, Abdullah Al Hejaili, Iryna Ivanochko

IEEE Access, 2023

A Novel Federated Edge Learning Approach for Detecting Cyberattacks in IoT Infrastructures.

Sidra Abbas, Abdullah Al Hejaili, Gabriel Avelino R. Sampedro, Mideth B. Abisado, Ahmad S. Almadhor, Tariq Shahzad, Khmaies Ouahada

IEEE Access, 2023

2022

Expressive Latent Feature Modelling for Explainable Matrix Factorisation-based Recommender Systems.

Abdullah Alhejaili, Shaheen Fatima

ACM Trans. Interact. Intell. Syst., 2022

An efficient computer vision-based approach for acute lymphoblastic leukemia prediction.

Ahmad S. Almadhor, Usman Sattar, Abdullah Alhejaili, Uzma Ghulam Mohammad, Usman Tariq, Haithem Ben Chikha

Frontiers Comput. Neurosci., 2022

2020

Latent Feature Modelling for Recommender Systems.

Abdullah Alhejaili, Shaheen Fatima

Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020