Employing Transfer Learning for Diagnosing COVID-19 Disease. - Lafta Raheem Ali; Sabah Abdulazeez Jebur; Mothefer Majeed Jahefer; Bassam Noori Shaker (Int. J. Online Biomed. Eng., 2022)

Hiding Information in Digital Images Using LSB Steganography Technique. - Sabah Abdulazeez Jebur; Abbas Khalifa Nawar; Lubna Emad Kadhim; Mothefer Majeed Jahefer (Int. J. Interact. Mob. Technol., 2023)

Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection. - Sabah Abdulazeez Jebur; Khalid Ali Hussein; Haider K. Hoomod; Laith Alzubaidi (Comput., 2023)

Heart Attack Prediction by Integrating Independent Component Analysis with Machine Learning Classifiers. - Abbas Khalifa Nawar; Sabah Abdulazeez Jebur; Hasan Abdulrazzaq Jawad; Mothefer Majeed Jahefer; Lafta Alkhazraji; Abir Jaafar Hussain (DeSE, 2024)

A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos. - Sabah Abdulazeez Jebur; Khalid Ali Hussein; Haider K. Hoomod; Laith Alzubaidi; Ahmed Saihood; Yuantong Gu (CoRR, 2024)

MEFF - A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging. - Laith Alzubaidi; Khamael Al-Dulaimi; Huda Abdul-Hussain Obeed; Ahmed Saihood; Mohammed A. Fadhel; Sabah Abdulazeez Jebur; Yubo Chen 006; Ahmed Shihab Albahri; José Santamaría; Ashish Gupta; Yuantong Gu (Intell. Syst. Appl., 2024)

Artificial intelligence based-improving reservoir management: An Attention-Guided Fusion Model for predicting injector-producer connectivity. - Ahmed Saihood; Tariq Saihood; Sabah Abdulazeez Jebur; Christine Ehlig-Economides; Laith Alzubaidi; Yuantong Gu (Eng. Appl. Artif. Intell., 2025)

A Scalable and Generalised Deep Learning Framework for Anomaly Detection in Surveillance Videos. - Sabah Abdulazeez Jebur; Laith Alzubaidi; Ahmed Saihood; Khalid Ali Hussein; Haider K. Hoomod; Yuantong Gu (Int. J. Intell. Syst., 2025)

ATD Learning: A secure, smart, and decentralised learning method for big data environments. - Laith Alzubaidi; Sabah Abdulazeez Jebur; Tanya Abdulsattar Jaber; Mohanad A. Mohammed; Haider A. Alwzwazy; Ahmed Saihood; Harshala Gammulle; José Santamaría; Ye Duan; Clinton Fookes; Raja Jurdak; Yuantong Gu (Inf. Fusion, 2025)

Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants. - Lafta R. Al-Khazraji; Ayad R. Abbas; Abeer S. Jamil; Zahraa Saddi Kadhim; Wissam Alkhazraji; Sabah Abdulazeez Jebur; Bassam Noori Shaker; Mohammed Abdallazez Mohammed; Mohanad A. Mohammed; Basim Mohammed Al-Araji; Abdulkareem Z. Mohmmed; Wasiq Khan; et al. (Intell. Syst. Appl., 2025)

Lightweight Convolutional Neural Networks for Retinal Disease Classification. - Duaa Kareem Qasim; Sabah Abdulazeez Jebur; Lafta Raheem Ali; Abdul Jalil M. Khalaf; Abir Jaafar Hussain (CoRR, 2025)