Search Results - (( developing application max algorithm ) OR ( java application learning algorithm ))

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    An event-driven simulation for highest urgency first (HUF) : a latency and modulation aware bandwidth allocation algorithm for WiMAX base stations. by Naghshbandi, Danial, Subramaniam, Shamala, Moghadam, Saeed Rahimi

    Published 2013
    “…Awide-spectrum of WiMAX simulators have been developed to provide analysis for advanced WiMAX system development, including the open source tool ns-2, and commercial software such as QualNet and OPNET Modeler. …”
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    Quality of service management algorithms in WiMAX networks by Saidu, Ibrahim

    Published 2015
    “…Four algorithms have been proposed and developed in this research. …”
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    Simulation model to improve QoS performance over fixed WiMAX using OPNET by Lawal, I.A., Md Said, A., Mu'azu, A.A.

    Published 2013
    “…A Model was developed based on the proposed new distributed model (Master-Slave), the first scenario comprised of 3 Base Stations (BS) and thirty Subscriber Station (SS) with one Master BS selected by the designed algorithm (Nearest Neighborhood Algorithms). …”
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    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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    Effective downlink resource management for wimax networks by Shareef, Zayd Ashraf Najeeb

    Published 2018
    “…The interest in Quality of Service (QoS) for broadband wireless access networks has been growing considerably because of the need for efficient data access, particularly in WiMAX networks. Unlike wireless LANs, WiMAX networks incorporate several QoS mechanisms to guarantee services for Internet applications, such as HTTP, FTP, VoD, and VoIP. …”
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    A new WDM Application Response Time in WLAN Network and Fixed WiMAX using Distributed by Nisar, K., Lawal, I.A., Abualsaud, K., El-Fouly, T.M.

    Published 2014
    “…The WiMAX network does not provide sufficient QoS with respect to Application Response Time. …”
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    Improving the quality of service of fixed WiMAX networks by decreasing application response time using a distributed model by Lawal, Ibrahim A., Ibrahim, Adamu Abubakar, Zammarah, Nuha Abdullah

    Published 2022
    “…One of the most cutting-edge technologies, known as World Wide Interoperability for Microwave Access (WiMAX), was developed with the quality of service in mind during its development. …”
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    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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    A new model of application response time for VoIP over WLAN and fixed WiMAX by Nisar, K., Hijazi, M.H.A., Lawal, I.A.

    Published 2015
    “…In this paper we provide an overview and develops a new distributed model to improve QoS performance for VoIP over WLAN and Fixed WiMAX network with respect to Application Response Time (ART). …”
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    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
    “…For floor localisation, the strategy is based on developing the algorithm to determine the floor by utilising fingerprint clustering technique. …”
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