Search Results - (( web application ant algorithm ) OR ( _ mitigation clustering algorithm ))
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A new ant based rule extraction algorithm for web classification
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A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering
Published 2022“…Therefore, the proposed hybrid algorithm can provide relatively homogeneous clustering results in natural disaster mitigation.…”
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Comparison of attribute selection methods for web texts categorization
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Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
Published 2020“…Through an intelligent fusion of healthcare and simulated mobility data, we model lockdown as a clustering problem and design a dynamic clustering algorithm for localized lockdown by taking into account the pandemic, economic and mobility aspects. …”
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Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours
Published 2024“…Thus, this research proposes enhancement on clustering algorithm to mitigate the impact of correlated node behaviour on network performances. …”
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…In general, the process of fake news detection was conducted in two different phases, the topic detection phase using a graph-based unsupervised clustering method based on HFPA and Markov Clustering Algorithm (MCL) called (HFPA-MCL) and the fake news detection phase using an unsupervised clustering method based on K-means algorithm. …”
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An efficient up-link load reduction model based on clustering in vanets
Published 2019“…This study proposed an Efficient Up-link Load Reduction (EULR) model to mitigate the uplink load at BSs. EULR model consisted of three parts: the first part, two novel algorithms Smart CH Election (SCHE) and Hybrid Cluster-Head Election (HCHE) to increase cluster stability and reduce the number of CHs changes in the network by selecting the best vehicle as cluster head (CH) based on two dynamic thresholds. …”
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Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…Therefore, several studies have employed some schemes to reduce data redundancy in the clustered network before data aggregation to mitigate the problems that affects the data aggregation efficiency. …”
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…As for the running method the compilation of the code will be run by using cmd and Ant Apache and the total average result of 30 simulation will be view on the web base application will be run using xampp.…”
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Academic Exercise -
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. The result of the algorithm performance will be appeared in web application system. …”
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Academic Exercise -
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Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj
Published 2023“…Moreover, two improvised clustering techniques are introduced to reduce the energy overhead cost from the re-clustering process. …”
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An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication
Published 2019“…This paper proposes an effective power dispatch strategy for clustered micro-grids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. …”
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Proceeding -
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Cloud Computing systems are widely applied in many fields such as communication data management, web application, network monitoring, financial management and so on. …”
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Detecting lung cancer region from CT image using meta-heuristic optimized segmentation approach
Published 2022“…In this paper, the butterfly optimization algorithm-based K-means clustering (BOAKMC) method is introduced for reducing CT image segmentation uncertainty. …”
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A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh
Published 2021“…The proposed framework aims to improve the indexing packets and mitigate the disseminated data. Static-Coalition algorithm rearranges the packets in each gateway, by source (location attribute). …”
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Power management system for smart microgrid considering meteorological and load demand data / Sam Koohikamali
Published 2015“…Microgrid refers to a cluster of generation, load, and energy storage units which can operate in grid-connected and/or in islanded modes. …”
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Detection And Identification Of Stiction In Control Valves Based On Fuzzy Clustering Method
Published 2016“…This modification prevents the fuzzy clustering algorithm from turning into numerical problem. …”
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