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Rana Muhammad

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Articles

  • Meta-transfer learning-based handover optimization for V2N communication

    Jul 17, 2024 | eprints.gla.ac.uk | Rana Muhammad

    Sohaib, R. M., Onireti, O. , Tan, K. , Sambo, Y. , Swash, R. and Imran, M. (2024) Meta-transfer learning-based handover optimization for V2N communication. IEEE Transactions on Vehicular Technology, (Accepted for Publication)Full text not currently available from Enlighten.

  • Energy efficient resource allocation framework based on dynamic meta-transfer learning for V2X communications

    May 9, 2024 | eprints.gla.ac.uk | Rana Muhammad

    Sohaib, R. M., Onireti, O. , Sambo, Y. , Swash, R. and Imran, M. (2024) Energy efficient resource allocation framework based on dynamic meta-transfer learning for V2X communications. IEEE Transactions on Network and Service Management, (Accepted for Publication)Full text not currently available from Enlighten.

  • Power Burr X-T family of distributions: properties, estimation methods and real-life applications - Computational Statistics

    Sep 25, 2023 | link.springer.com | Rana Muhammad

    AbstractThe new continuous class of probability distribution named the Power Burr X-T (PBX-T) family is proposed in this paper. The essential characteristics of the PBX-T family of distributions, i.e. conventional moments and associated procedures, stress-strength reliability, and Rényi entropy, are derived and studied. Some special models belonging to the new family have been comprehensively explored concerning their shapes.

  • Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm

    Sep 12, 2023 | paperity.org | Rana Muhammad

    Environmental Science and Pollution Research, Aug 2023 Biochemical oxygen demand (BOD) is one of the most important parameters used for water quality assessment. Alternative methods are essential for accurately prediction of this parameter because the traditional method in predicting the BOD is time-consuming and it is inaccurate due to inconstancies in microbial multiplicity.

  • Intelligent resource management for eMBB and URLLC in 5G and beyond wireless networks

    Jun 15, 2023 | eprints.gla.ac.uk | Rana Muhammad

    Sohaib, R. M., Onireti, O. , Sambo, Y. , Swash, R., Ansari, S. and Imran, M. A. (2023) Intelligent resource management for eMBB and URLLC in 5G and beyond wireless networks. IEEE Access, (Accepted for Publication)Full text not currently available from Enlighten.

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