Search Results - (( based applications drops algorithm ) OR ( _ application among 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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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…Besides, this algorithm provides home users or application developers to implement their own event operators with bespoke syntax for their application purpose by defining cross-events corresponding to the event operators. …”
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Token based path allocation approach for mobile robots in sorting centre for achieving high throughput
Published 2024“…This project proposes an improved path-finding algorithm that implements token-based path finding while a robot wants to access a grid cell. …”
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Final Year Project / Dissertation / Thesis -
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Voice priority queue scheduling system models for VoIP over WLANs
Published 2013“…The Voice over Internet Protocol (VoIP) is a delay sensitive traffic due to real-time applications on networks.The assessment of voice flow quality in the VoIP is an essential requirement for technical and commercial motivation.The packets of VoIP streaming may experience drops because of the competition among the different kinds of traffic flow over the network. …”
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Intelligent examination timetabling system using hybrid intelligent water drops algorithm
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Conference or Workshop Item -
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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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Markov-modulated bernoulli-based performance analysis for gentle BLUE and BLUE algorithms under bursty and correlated traffic
Published 2024journal::journal article -
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A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines
Published 2017“…While single-learner artificial neural network (ANN)-based models demonstrate a satisfactory level of capability in assessing the health of gas turbines, this article investigated the application of a multiple networks artificial neural network (multi-nets ANN) model using a multiple-views multiple learners approach to provide a real-time performance-based automatic fault detection (AFD) system in gas turbine engines. …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…The dropping decision of the redundant RREQ in the NCPR algorithm completely relies on preset variables, such variables require to be set by the system administrator based on the scenario. …”
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Thesis -
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Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field
Published 2018“…This represents sparseness constraints yield to decrease ambiguity and provide uniqueness to the model.In comparison in between β-divergence,α-divergence,sparse β-divergence and sparse α-divergence NMF2D,it found that SDR value of sparse α-divergence NMF2D is the best decomposition method among all divergences.This can be concluded that sparse α-divergence NMF2D is more applicable in separating real data recording.…”
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Thesis -
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VANET SECURITY FRAMEWORK FOR LOW LATENCY SAFETY APPLICATIONS
Published 2012“…However, these solutions still do not satisfy the existing safety applications standard or have larger message size due to increased message drop ratio. …”
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Thesis -
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Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The filter algorithm is based on an enhanced harmonic mean filter algorithm. …”
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On determination of input parameters of the mass transfer process by fuzzy approach.
Published 2005“…This is an extension of the work done on the mass transfer process of a single drop in single stage RDC column. The algorithm is based on fuzzy approach and the assumptions made in mass transfer process as adopted in previous work are also being used. …”
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Analyzing students records to identify patterns of students' performance
Published 2023“…Finally, the results from the application of the CHAID algorithm aimed at predicting students' academic success is presented. � 2013 IEEE.…”
Conference Paper -
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