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Ammar Awad Mutlag
Researcher at Universiti Teknikal Malaysia Melaka
Publications - 11
Citations - 805
Ammar Awad Mutlag is an academic researcher from Universiti Teknikal Malaysia Melaka. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 5, co-authored 10 publications receiving 438 citations.
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Journal ArticleDOI
Enabling technologies for fog computing in healthcare IoT systems
Ammar Awad Mutlag,Mohd Khanapi Abd Ghani,N. Arunkumar,Mazin Abed Mohammed,Mazin Abed Mohammed,Othman Mohd +5 more
TL;DR: A systematic literature review of the technologies for fog computing in the healthcare IoT systems field and analyzing the previous is presented, providing motivation, limitations faced by researchers, and suggestions proposed to analysts for improving this essential research field.
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Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods
Mazin Abed Mohammed,Karrar Hameed Abdulkareem,Alaa S. Al-Waisy,Salama A. Mostafa,Shumoos Al-Fahdawi,Ahmed M. Dinar,Wajdi Alhakami,Abdullah Baz,Mohammed Nasser Al-Mhiqani,Hosam Alhakami,Nureize Arbaiy,Mashael S. Maashi,Ammar Awad Mutlag,Begona Garcia-Zapirain,Isabel de la Torre Díez +14 more
TL;DR: The study results revealed that the benchmarking and selection problems associated with COVID19 diagnosis models can be effectively solved using the integration of Entropy and TOPSIS.
Journal ArticleDOI
A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues
Karrar Hameed Abdulkareem,Mazin Abed Mohammed,Saraswathy Shamini Gunasekaran,Mohammed Nasser Al-Mhiqani,Ammar Awad Mutlag,Salama A. Mostafa,Nabeel Salih Ali,Dheyaa Ahmed Ibrahim +7 more
TL;DR: A comprehensive review to underline the latest improvements in ML techniques that are associated with three aspects of fog computing: management of resource, accuracy, and security.
Journal ArticleDOI
MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management.
Ammar Awad Mutlag,Mohd Khanapi Abd Ghani,Mazin Abed Mohammed,Mashael S. Maashi,Othman Mohd,Salama A. Mostafa,Karrar Hameed Abdulkareem,Gonçalo Marques,Isabel de la Torre Díez +8 more
TL;DR: A multi-agent Fog Computing model for healthcare critical tasks management is suggested, mapping between three decision tables to optimize scheduling the critical tasks by assigning tasks with their priority, load in the network, and network resource availability.