Sabah Abdulazeez Jebur

According to our database, Sabah Abdulazeez Jebur authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

LWR-Net: Learning without retraining for scalable multi-task adaptation and domain-agnostic generalisation.

Haider A. Alwzwazy, Laith Alzubaidi, Zehui Zhao, Ahmed Saihood, Sabah Abdulazeez Jebur, Mohamed Manoufali, Omar Alnaseri, José Santamaría, Yuantong Gu

Intell. Syst. Appl., 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, Bilal Khan, Abir Jaafar Hussain

Intell. Syst. Appl., 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

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

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

Lightweight Convolutional Neural Networks for Retinal Disease Classification.

Duaa Kareem Qasim, Sabah Abdulazeez Jebur, Lafta Raheem Ali, Abdul Jalil M. Khalaf, Abir Jaafar Hussain

Proceedings of the 18th International Conference on Development in eSystem Engineering, 2025

Deep Learning with Transfer Learning for Detecting Abnormalities in X-Ray Images.

Dina Jasim Abd, Sabah Abdulazeez Jebur, Lafta Alkhazraji, Riyam M. Alsammarraie, Abir Jaafar Hussain

Proceedings of the 18th International Conference on Development in eSystem Engineering, 2025

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, Ahmed Shihab Albahri, José Santamaría, Ashish Gupta, Yuantong Gu

Intell. Syst. Appl., 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

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

Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

2023

Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection.

Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, Laith Alzubaidi

Comput., August, 2023

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., April, 2023

2022

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., December, 2022