Search Results - (( java implication tree algorithm ) OR ( mobile optimization means algorithm ))
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Cluster optimization in VANET using MFO algorithm and K-Means clustering
Published 2023“…Proven to be an effective and efficient method for solving optimization problem. To design K-Means algorithm that portion nodes based on their proximities by optimize the distance between nodes within same cluster by assigning them to the closet cluster center. …”
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Conference or Workshop Item -
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A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The mean path cost generated by the LS algorithm, on the other hand, is 14% higher than that generated by the PRM. …”
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Thesis -
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Amtree Protocol Enhancement by Multicast Tree Modification and Incorporation of Multiple Sources
Published 2008“…This means the time of optimization process is also high. …”
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A noble approach of ACO algorithm for WSN
Published 2018“…A noble approach of ant colony optimization (ACO) algorithm for discovering the optimum route in the WSNs for data transmission is proposed here for enhancement and optimization considering the issue of path selection to reach the nodes. …”
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Proceeding Paper -
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Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network
Published 2023“…Secondly, the K-value-calculating algorithm computes the optimal number of clusters. …”
Article -
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Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks
Published 2013“…It reduces the number of handovers by 29.7% and 26.9%, respectively, compared to the conventional RSSI based handover algorithm and the previous worked, mobility improved handover (MIHO) algorithm. …”
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Mobility-aware Offloading Decision For Multi-access Edge Computing In 5g Networks
Published 2024journal::journal article -
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A Fuzzy Hybrid GA-PSO Algorithm for Multi-Objective AGV Scheduling in FMS
Published 2017“…A fuzzy hybrid GA-PSO (genetic algorithm – particle swarm optimization) algorithm was developed to optimize the model. …”
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Article -
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Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization
Published 2017“…In the main draw of the research, a mathematical model was developed and integrated with evolutionary algorithms (genetic algorithm (GA), particle swarm optimization (PSO), and hybrid GA-PSO) to optimize the task scheduling of AGVs with the objectives of minimizing makespan and number of AGVs while considering the AGVs' battery charge. …”
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Acquisition of new subscribers using analytical models in the telecommunication industry / Nik Muhammad Naim Nik Ghazali
Published 2020“…The goal of using optimization is to minimize the number of acquisition while still meeting the set target mobile revenue. …”
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Thesis -
13
Design a new proposed route optimization scheme based NEMO-Centric MANEMO (NCM)
Published 2014“…Route Optimization (RO) refers to any approach that optimizes the transmission of packets between a Mobile Network Node/Mobile Router and a Corresponding Node/Home Agent. …”
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Proceeding Paper -
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CROWDSOURCING-BASED MOBILE APPLICATION FOR SUPERMARKET STOCK AVAILABILITY CHECKER
Published 2020“…This project is implementing spatial crowdsourcing technology in hope to optimize the frequent updates of the stock availability by means of contributions from users. …”
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Final Year Project -
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Exp-bet packet scheduling algorithm for multiple traffic services in long term evolution (LTE) system / Ku Siti Syahidah Ku Mohd Noh
Published 2016“…Most mobile devices today support multimedia services and legacy mobile services such as voice, short message service (SMS) and multimedia messaging service (MMS). …”
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A novel RSSI prediction using imperialist competition algorithm (ICA), radial basis function (RBF) and firefly algorithm (FFA) in wireless networks
Published 2016“…This relies on a novel method for the prediction of a received signal strength indicator (RSSI) referred to as IRBF-FFA, which is designed by utilizing the imperialist competition algorithm (ICA) to train the radial basis function (RBF), and by hybridizing with the firefly algorithm (FFA) to predict the optimal solution. …”
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Article -
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
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A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…The EnVADE algorithm uses selective mechanism. Selective mechanism means the video segmented into scenes and adaptation process is done based on the selected scenes. …”
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A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…The EnVADE algorithm uses selective mechanism. Selective mechanism means the video segmented into scenes and adaptation process is done based on the selected scenes. …”
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The new enhancement of OLSR energy-saving system in ADHOC network / Suhazlan Suhaimi
Published 2018“…In Mobile Ad Hoc Networks (MANETs), network nodes typically have short lifespans given that they are mobile, self-reconfigurable, and dependent on the battery power. …”
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