Hasil Pencarian - Ahmed Al-Dubai

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  1. 1
    Reliability and energy efficiency enhancement in wireless body area networks for e-health

    Reliability and energy efficiency enhancement in wireless body area networks for e-health oleh Marwa Salayma, Ahmed Al-Dubai, Imed Romdhani

    Diterbitkan 2016-11-01
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  2. 2
    Ontology-Based Linked Data to Support Decision-Making within Universities

    Ontology-Based Linked Data to Support Decision-Making within Universities oleh Ghadeer Ashour, Ahmed Al-Dubai, Imed Romdhani, Daniyal Alghazzawi

    Diterbitkan 2022-09-01
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  3. 3
    Mitigation Mechanisms Against the DAO Attack on the Routing Protocol for Low Power and Lossy Networks (RPL)

    Mitigation Mechanisms Against the DAO Attack on the Routing Protocol for Low Power and Lossy Networks (RPL) oleh Isam Wadhaj, Baraq Ghaleb, Craig Thomson, Ahmed Al-Dubai, William J. Buchanan

    Diterbitkan 2020-01-01
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  4. 4
    Reinforcement Learning with UAV Assistance for Optimized Computation Offloading in Mobile Edge Computing

    Reinforcement Learning with UAV Assistance for Optimized Computation Offloading in Mobile Edge Computing oleh Aisha Alabsi, Ammar Hawbani, Xing-Fu Wang, Saeed Hamood Alsamhi, Liang Zhao, Ahmed Al-Dubai

    Diterbitkan 2023-11-01
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  5. 5
    Advancing temporal sepsis biomarking: Covariate vascular endothelial growth factor A and B gene expression profiling in a murine model of SARS-CoV infection

    Advancing temporal sepsis biomarking: Covariate vascular endothelial growth factor A and B gene expression profiling in a murine model of SARS-CoV infection oleh Asrar Rashid, Feras Al-Obeidat, Kesava Ramakrishnan, Wael Hafez, Nouran Hamza, Zainab A. Malik, Raziya Kadwa, Muneir Gador, Govind Benakatti, Rayaz A Malik, Ibrahim Elbialy, Hekmieh Manad, Guftar Shaikh, Ahmed Al-Dubai, Amir Hussain

    Diterbitkan 2024-01-01
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  6. 6
    Application of a gene modular approach for clinical phenotype genotype association and sepsis prediction using machine learning in meningococcal sepsis

    Application of a gene modular approach for clinical phenotype genotype association and sepsis prediction using machine learning in meningococcal sepsis oleh Asrar Rashid, Arif R. Anwary, Feras Al-Obeidat, Joe Brierley, Mohammed Uddin, Hoda Alkhzaimi, Amrita Sarpal, Mohammed Toufiq, Zainab A. Malik, Raziya Kadwa, Praveen Khilnani, M Guftar Shaikh, Govind Benakatti, Javed Sharief, Syed Ahmed Zaki, Abdulrahman Zeyada, Ahmed Al-Dubai, Wael Hafez, Amir Hussain

    Diterbitkan 2023-01-01
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  7. 7
    Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review

    Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review oleh Asrar Rashid, Feras Al-Obeidat, Hari Krishnan Kanthimathinathan, Govind Benakatti, Wael Hafez, Raghu Ramaiah, Joe Brierley, Benjamin Hanisch, Praveen Khilnani, Christos Koutentis, Berit S. Brusletto, Mohammed Toufiq, Zain Hussain, Harish Vyas, Zainab A Malik, Maike Schumacher, Rayaz A Malik, Shriprasad Deshpande, Nasir Quraishi, Raziya Kadwa, Amrita Sarpal, M. Guftar Shaikh, Javed Sharief, Syed Ahmed Zaki, Rajesh Phatak, Akash Deep, Ahmed Al-Dubai, Amir Hussain

    Diterbitkan 2024-01-01
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