Optimized task scheduling in cloud computing using improved multi-verse optimizer. - Mohammed Otair; Areej Alhmoud; Heming Jia; Maryam Altalhi; Ahmad MohdAziz Hussein; Laith Abualigah (Clust. Comput., 2022)

Comparative analysis of some selected generative adversarial network models for image augmentation: a case study of COVID-19 x-ray and CT images. - Muhammad Ubale Kiru; Bahari Belaton; Xinying Chew; Khaled Hatem Almotairi; Ahmad MohdAziz Hussein; Maryam Aminu (J. Intell. Fuzzy Syst., 2022)

Impact of Artificial Intelligence on COVID-19 Pandemic: A Survey of Image Processing, Tracking of Disease, Prediction of Outcomes, and Computational Medicine. - Khaled Hatem Almotairi; Ahmad MohdAziz Hussein; Laith Abualigah; Sohaib K. M. Abujayyab; Emad Hamdi Mahmoud; Bassam Omar Ghanem; Amir H. Gandomi (Big Data Cogn. Comput., 2023)

Improved synergistic swarm optimization algorithm to optimize task scheduling problems in cloud computing. - Laith Abualigah; Ahmad MohdAziz Hussein; Mohammad H. Almomani; Raed Abu Zitar; Hazem Migdady; Ahmed Ibrahim Alzahrani 001; Ayed Alwadain (Sustain. Comput. Informatics Syst., 2024)

GIJA:Enhanced geyser-inspired Jaya algorithm for task scheduling optimization in cloud computing. - Laith Abualigah; Ahmad MohdAziz Hussein; Mohammad H. Almomani; Raed Abu Zitar; Mohammad Sh. Daoud; Hazem Migdady; Ahmed Ibrahim Alzahrani 001; Ayed Alwadain (Trans. Emerg. Telecommun. Technol., 2024)

A Smart IoT-Cloud Framework with Adaptive Deep Learning for Real-Time Epileptic Seizure Detection. - Ahmad MohdAziz Hussein; Saleh Ali Alomari; Mohammad H. Almomani; Raed Abu Zitar; Kashif Saleem; Aseel Smerat; Shawd Nusier; Laith Abualigah (Circuits Syst. Signal Process., 2025)