Search Results - (( mobile application drops algorithm ) OR ( _ application learning algorithm ))*

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    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…In addition, with regard to the second algorithm SNBR, the results show that SNBR overcomes the NCPR algorithm terms of normalize routing overhead by 58.80% as its due to its dropping factor. …”
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    Thesis
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    Performance Enhancement of Routing Protocols in Mobile Wireless Ad-Hoc Networks Using Fuzzy Reasoning Algorithm by Natsheh, Essam Fathi

    Published 2006
    “…We will present the various application of that algorithm to ad-hoc routing protocols. …”
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    Thesis
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    Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks by Al-Sanabani, Maher Ali

    Published 2008
    “…Among the issues the telecommunication industry is the demand for multimedia applications with Quality of Service (QoS) in wireless/mobile networks. …”
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    Thesis
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    Effects of Authentication of Users in Mobile Internet Protocol Version 6 by Obenofunde, Simon Tabi

    Published 2004
    “…Presently, mobility is difficult, if not impossible to detect at the application layer though easily detectable at the network layer. …”
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    Thesis
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    Token based path allocation approach for mobile robots in sorting centre for achieving high throughput by Khoo, Zong Zheng

    Published 2024
    “…Thus, these problems seem to be the reasons that may be not that applicable and inefficient to apply in the real world. …”
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    Final Year Project / Dissertation / Thesis
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    Predictive Mobility Management Using Optimized Delays And Security Enhancements In IEEE 802.11 Infrastructure Networks by Biju, Issac

    Published 2008
    “…Under the current technology, when a mobile node moves from one access point to another, the handoff is not always smooth and connection may be dropped as a result. …”
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    Thesis
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    Quality of service management algorithms in WiMAX networks by Saidu, Ibrahim

    Published 2015
    “…Moreover, an improved sleep mode control algorithm has been introduced to reduce the high energy consumption of the standard sleep mode algorithm. …”
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    Thesis
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    An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM) by Shamim, Akhtar

    Published 2024
    “…The scope of this study is tri folded, First, an exhaustive and parametric comparative study on a wide variety of machine learning algorithms is presented to evaluate the performance of machine learning algorithms in energy load prediction. …”
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    Thesis
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