| Enabling Technologies for Fog Computing in Healthcare IoT Systems AA Mutlag Future Generation Computer Systems 90, 62-78, 2018 | 678 | 2018 |
| Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and TOPSIS methods MA Mohammed, KH Abdulkareem, AS Al-Waisy, SA Mostafa, ... Ieee Access 8, 99115-99131, 2020 | 208 | 2020 |
| A review of fog computing and machine learning: concepts, applications, challenges, and open issues KH Abdulkareem, MA Mohammed, SS Gunasekaran, MN Al-Mhiqani, ... Ieee Access 7, 153123-153140, 2019 | 199 | 2019 |
| MAFC: Multi-agent fog computing model for healthcare critical tasks management AA Mutlag, M Khanapi Abd Ghani, MA Mohammed, MS Maashi, O Mohd, ... Sensors 20 (7), 1853, 2020 | 103 | 2020 |
| A Comprehensive Investigation of Machine Learning Feature Extraction and ClassificationMethods for Automated Diagnosis of COVID-19 Based on X-ray Images. MA Mohammed, KH Abdulkareem, B Garcia-Zapirain, SA Mostafa, ... Computers, Materials & Continua 66 (3), 2021 | 93 | 2021 |
| A new multi-agent feature wrapper machine learning approach for heart disease diagnosis M Elhoseny, MA Mohammed, SA Mostafa, KH Abdulkareem, MS Maashi, ... Tech Science Press, 2021 | 66 | 2021 |
| Multi-agent systems in fog–cloud computing for critical healthcare task management model (CHTM) used for ECG monitoring AA Mutlag, MK Abd Ghani, MA Mohammed, A Lakhan, O Mohd, ... Sensors 21 (20), 6923, 2021 | 61 | 2021 |
| [Retracted] Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID‐19 Patients in IoT‐Fog Computing Environments K Hameed Abdulkareem, A Awad Mutlag, A Musa Dinar, J Frnda, ... Computational Intelligence and Neuroscience 2022 (1), 5012962, 2022 | 34 | 2022 |
| Comprehensive review of machine learning (ML) in image defogging: Taxonomy of concepts, scenes, feature extraction, and classification techniques ZH Arif, MA Mahmoud, KH Abdulkareem, MA Mohammed, MN Al‐Mhiqani, ... IET Image Processing 16 (2), 289-310, 2022 | 25 | 2022 |
| A healthcare resource management optimization framework for ECG biomedical sensors AA Mutlag, MKA Ghani, MA Mohammed Efficient Data Handling for Massive Internet of Medical Things: Healthcare …, 2021 | 25 | 2021 |
| Attack graph reachability: concept, analysis, challenges and issues ZJ Al-Araji, SSS Ahmed, RS Abdullah, AA Mutlag, HAA Raheem, ... Network Security 2021 (6), 13-19, 2021 | 16 | 2021 |
| A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications AA Mutlag, MK Abd Ghani, O Mohd, KH Abdulkareem, MA Mohammed, ... Physical Communication 59, 102109, 2023 | 15 | 2023 |
| The Role of Hybrid IoT with Cloud Computing and Fog Computing to Help the Oil and Gas Industry Recover from Covid-19 and Face Future Challenges EHK Alkamil, AA Mutlag, HW Alsaffar, MH Sabah SPE Annual Technical Conference and Exhibition?, D021S022R004, 2021 | 2 | 2021 |
| Attack graph-based security metrics: Concept, taxonomy, challenges and open issues ZJ Al-Araji, SSS Ahmad, HM Farhood, AA Mutlag, MS Al-Khaldee BIO Web of Conferences 97, 00085, 2024 | 1 | 2024 |
| Implement Edge pruning to Enhance attack graph generation using Naïve approach algorithm Z Alaaraji, A Mutlag, SSS Ahmad El-Cezeri 11 (3), 298-306, 2024 | | 2024 |
Mazin Abed MohammedUniversity of Anbar, Iraq確認したメール アドレス: uoanbar.edu.iq