Search Results - (( evolution application among algorithm ) OR ( java application stemming algorithm ))

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    Performance of maximum-largest weighted delay first algorithm in long term evolution-advanced with carrier aggregation by Mohd. Ramli, Huda Adibah

    Published 2014
    “…Guaranteed Bit Rate (GBR) applications with strict Quality of Service (QoS) are getting increasingly popular among mobile cellular users. …”
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    Proceeding Paper
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    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network by Hindia, M.N., Reza, A.W., Noordin, K.A.

    Published 2015
    “…On the second level, TOPSIS algorithm allocates the resources among application's users based on their criteria and the application's preferences. …”
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    Article
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    Performance analysis of uplink scheduling algorithms in the urban and rural environments in LTE / Shafinaz Ismail, Darmawaty Mohd Ali and Norsuzlia Ya'acob by Ismail, Shafinaz, Mohd Ali, Darmawaty, Ya'acob, Norsuzlia

    Published 2018
    “…The simulation results show that RR algorithm always reaches the lowest PLR among those strategies and RR is the most suitable scheduling algorithms for VoIP and video flows while FME is better for BE flows in both urban and rural environment in LTE networks.…”
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    Article
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    Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

    Published 2023
    “…Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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    Thesis
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    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

    Published 2015
    “…On the second level, TOPSIS algorithm allocates resources among an application’s user based on their criteria and the application’s preferences. …”
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    Thesis
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    Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization by Hazmi Wahab, Muhammad Hafizul

    Published 2024
    “…These advancements collectively propel optimization-based ATS approaches closer to real-time applications where thousands of documents could be involved, demonstrating the versatility and efficiency of the proposed MODE/D algorithm across diverse computing architectures, including multicore and many core environments.…”
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    Thesis
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    Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Nor Farizan, Zakaria, Mohd Mawardi, Saari

    Published 2023
    “…This paper presents the application of a recent metaheuristic algorithm namely Evolutionary Mating Algorithm (EMA) for optimizing the Deep Learning (DL) parameters to estimate the state of charge (SOC) of a battery for an electric vehicle in the real environment. …”
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    Article
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