Search Results - (( user evaluation drops algorithm ) OR ( panel classification _ algorithm ))
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QoS evaluation of different TCPs congestion control algorithm using NS2
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Performance evaluation of corner effect in UMTS / Nurzaliza Ghazali
Published 2009“…In cellular network such as UMTS, corner effect is one of the problem that effected the performance evaluation of handover algorithms. Handover is one of the key functionalities which tries to keep a user equipment (UE) connected to the best base station (Node B). …”
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Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes
Published 2024“…This work illustrates the potential of statistical feature extraction approaches for defect classification, while emphasizing the necessity for future improvements to boost the efficacy of feature extraction and classification techniques in practical applications.…”
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Improving Adaptive Quality of Service for Multimedia Wireless Networks Using Hierarchical Networks Approach
Published 2004“…Scenario A represents an area with 80% slow speed users and 20% fast speed users, Scenario B represents an area with a population of 40% slow speed users and 60% fast speed users while Scenario C represents an area with 20% slow speed users and 80% fast speed users. …”
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Efficient radio resource management algorithms for downlink long term evolution networks
Published 2018“…Likewise, it would be valuable if the proposed scheduling algorithms are evaluated on anticipated networks covering a large number of users in further research.…”
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Quality of service management algorithms in WiMAX networks
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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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach
Published 2011“…This effectively overcomes the premature convergence problem of the simple genetic algorithm (SGA). The accuracy of the proposed models is evaluated on test power systems, and the results obtained are compared with those of the existing approaches cited in this literature, which is highly impressive. …”
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TDMA scheduling analysis of energy consumption for iot wireless sensor network
Published 2019“…The algorithm use time division multiplexing algorithm together with hello message to allocate the neighbors and their energy level to find the best way to communicate and reduce packet drop, less signal interference and increase throughput. …”
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Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
Published 2016“…Meanwhile, a set of descriptors corresponding to Elliptic Fourier Features shape description is extracted for each defect and is evaluated for each cluster to use for clustering and classification part. The classification combines the analysis of defect intensity features, the application of unsupervised k-mean clustering and multi-class SVM algorithms. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
Published 2018“…Two classification methods, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used in order to investigate the performance of classification accuracy for this E-nose system. …”
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
“…A variation of k-NN algorithms were tested based on the number of neighbours, as well as the weight and the type of distance metric used. …”
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A smart handover strategy for 5G mmWave dual connectivity networks
Published 2023“…However, these solutions result in a significant surge in the number of handovers (HOs), leading to an increased occurrence of unnecessary handovers and a higher likelihood of dropped connectivity. Hence, designing a robust mobility technique that facilitates seamless connections to the user equipment (UE) has become crucial and challenging. …”
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