Search Results - (( developing block drop algorithm ) OR ( java visualisation using algorithm ))

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  1. 1

    Visualisation tool to study malaria transmission using network modelling by Wong,, Ji Yeh

    Published 2014
    “…Java was used to implement the visualisation tool. …”
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    Final Year Project Report / IMRAD
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    Adaptive Quality Of Service Call Admission Control With User Mobility Prediction For Multimedia Traffic Over Wireless Networks by Prihandoko

    Published 2003
    “…The objectives that AdQoS framework tries to accomplish are minimum new call blocking and handoff dropping rates. The key feature of this framework is the bandwidth reallocation scheme. …”
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    Thesis
  4. 4

    Improving Adaptive Quality of Service for Multimedia Wireless Networks Using Hierarchical Networks Approach by Kandasamy, Saravanan

    Published 2004
    “…When compared with the scheme proposed Prihandoko in the literature, the simulation results show that our proposed scheme reduces the new call blocking probabilities, the handoff dropping probabilities and reduces significantly the probability of terminating calls…”
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    Thesis
  5. 5

    Analysis and modeling of database storage optimization power consumption usage for green data centers by Wan Noor Hamiza, Wan Ali

    Published 2014
    “…The proxies can be discovered by using a developed algorithm of functional dependencies (FDs) called as TANE algorithm. …”
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    Thesis
  6. 6

    Quality of service management algorithms in WiMAX networks by Saidu, Ibrahim

    Published 2015
    “…Simulation have been extensively used to evaluate the proposed algorithm. Finally, Discrete Event Simulator (DES) is designed and developed in order to evaluate the performance of the proposed algorithms. …”
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    Thesis
  7. 7

    Efficient radio resource management algorithms for downlink long term evolution networks by Mamman, Maharazu

    Published 2018
    “…Secondly, the proposed call admission control algorithm improved the resource utilization algorithm thus reducing the call block, call dropped, call degradation. …”
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    Thesis
  8. 8

    Blood cell classification using deep learning by Liaw, Mun Kin

    Published 2022
    “…The motivation was gotten from the literature review section where various researchers developed their own methods manually through experimenting such as ensemble methods, learning algorithms, combined methodologies, etc. …”
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    Final Year Project / Dissertation / Thesis