Search Results - (( mobile application drops algorithm ) OR ( _ application learning algorithm ))*
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
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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Performance Enhancement of Routing Protocols in Mobile Wireless Ad-Hoc Networks Using Fuzzy Reasoning Algorithm
Published 2006“…We will present the various application of that algorithm to ad-hoc routing protocols. …”
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Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks
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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AntNet: a robust routing algorithm for data networks
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Article -
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Effects of Authentication of Users in Mobile Internet Protocol Version 6
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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Token based path allocation approach for mobile robots in sorting centre for achieving high throughput
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
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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Quality of service management algorithms in WiMAX networks
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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E4ML: Educational Tool for Machine Learning
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Conference or Workshop Item -
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Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
Published 2019“…In this paper, we present recent progress on the application of nature inspired algorithms in deep learning. …”
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Proceeding Paper -
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Subjects:Conference paper -
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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
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Working Paper -
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An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
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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