Adaptive Divisible Load Model for Scheduling Data-Intensive Grid Applications. - Mohamed Othman; Monir Abdullah; Hamidah Ibrahim; Shamala Subramaniam (International Conference on Computational Science (1), 2007)

An Integrated Approach for Scheduling Divisible Load on Large Scale Data Grids. - Monir Abdullah; Mohamed Othman; Hamidah Ibrahim; Shamala Subramaniam (ICCSA (1), 2007)

A2DLT: Divisible Load Balancing Model for Scheduling Communication-Intensive Grid Applications. - Mohamed Othman; Monir Abdullah; Hamidah Ibrahim; Shamala Subramaniam (ICCS (1), 2008)

New Optimal Load Allocation for Scheduling Divisible Data Grid Applications. - Mohamed Othman; Monir Abdullah; Hamidah Ibrahim; Shamala Subramaniam (ICCS (1), 2009)

Optimal workload allocation model for scheduling divisible data grid applications. - Monir Abdullah; Mohamed Othman; Hamidah Ibrahim; Shamala Subramaniam (Future Gener. Comput. Syst., 2010)

Cost-Based Multi-QoS Job Scheduling Using Divisible Load Theory in Cloud Computing. - Monir Abdullah; Mohamed Othman (ICCS, 2013)

Fault-tolerant Service Level Agreement lifecycle management in clouds using actor system. - Kuan Lu; Ramin Yahyapour; Philipp Wieder; Edwin Yaqub; Monir Abdullah; Bernd Schloer; Constantinos Kotsokalis (Future Gener. Comput. Syst., 2016)

An Adaptive Bully Algorithm for Leader Elections in Distributed Systems. - Monir Abdullah; Ibrahim Al-Kohali; Mohamed Othman (PaCT, 2019)

Integrated MOPSO algorithms for task scheduling in cloud computing. - Monir Abdullah; Ebtsam A. Al-Muta'a; Maher Al-Sanabani (J. Intell. Fuzzy Syst., 2019)

Evolutionary algorithms based on oversampling techniques for enhancing the imbalanced credit card fraud detection. - Malak Jalwi Korkoman; Monir Abdullah (J. Intell. Fuzzy Syst., 2023)

An internet of things enabled machine learning model for Energy Theft Prevention System (ETPS) in Smart Cities. - Mohammad Tabrez Quasim; Khair ul Nisa; Khan Muhammad 001; Mohammad Shahid Husain; Shadab Alam; Mohammed Shuaib; Mohammad Meraj; Monir Abdullah (J. Cloud Comput., 2023)

M3GNAS: Multi-modal Multi-view Graph Neural Architecture Search for Medical Outcome Predictions. - Raeed Al-Sabri; Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Zhenpeng Wu; Monir Abdullah; Xiaohua Hu 001 (BIBM, 2024)

Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron. - Monir Abdullah (Frontiers Artif. Intell., 2024)

LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network. - Sohaib Asif; Qurrat Ul Ain; Raeed Al-Sabri; Monir Abdullah (J. Comput. Sci., 2024)

A deep ensemble learning framework for COVID-19 detection in chest X-ray images. - Sohaib Asif; Qurrat Ul Ain; Muhammad Awais; Kamran Amjad; Omair Bilal; Raeed Al-Sabri; Monir Abdullah (Netw. Model. Anal. Health Informatics Bioinform., 2024)

ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions. - Muhammad Abubakar; Ahsan Raza; Arfan Ali Nagra; Anas Bilal; Ahmad Alshammari; Monir Abdullah; Sahraoui Dhelim (IEEE Access, 2025)

Strengthening Collaboration via Interlinked Skew Assessment and Rectification (ISAR) in Swarm Robotics. - Muhammad Usman Hashmi; Anas Bilal; Muhammad Khurram Ehsan; Monir Abdullah; Abdulbasit A. Darem; Sahraoui Dhelim (IEEE Access, 2025)

Federated learning with Blockchain on Denial-of-Service attacks detection and classification of edge IIoT networks using Deep Transfer Learning model. - Monir Abdullah; Hanan Abdullah Mengash; Mohammed Maray; Faheed A. F. Alenezi; Hanadi Alkhudhayr; Nouf Atiahallah Alghanmi; Alanoud Subahi; Jihen Majdoubi (Comput. Electr. Eng., 2025)

Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments. - Babatounde Moctard Oloulade; Jianliang Gao; Jiamin Chen; Raeed Al-Sabri; Zhenpeng Wu; Monir Abdullah (Inf. Sci., 2025)

Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving. - Manal Abdullah Alohali; Hamed Alqahtani; Abdulbasit A. Darem; Monir Abdullah; Yunyoung Nam; Mohamed Abouhawwash (PeerJ Comput. Sci., 2025)

MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction. - Dhekra Saeed; Huanlai Xing; Barakat AlBadani; Li Feng; Raeed Al-Sabri; Monir Abdullah; Amir Rehman (BMC Bioinform., 2025)