Search Results - (( java implementation path algorithm ) OR ( using mitigation clustering algorithm ))
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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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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
Published 2020“…We then validate the proposed algorithms by conducting extensive simulations using the Malaysian context as a case study. …”
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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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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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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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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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Power management system for smart microgrid considering meteorological and load demand data / Sam Koohikamali
Published 2015“…Microgrid along with its communication platform and PMS are simulated using PSCAD software. PMS is tested under different scenarios using real load profiles and meteorological data in Malaysia to verify the operational abilities of proposed MG. …”
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An enhanced synthetic oversampling framework with self-supervised contrastive learning for multi-class image imbalance
Published 2025“…The second contribution is the introduction of the Clustering and Nearest Centroid Neighbour-based Synthetic Minority Oversampling (CLNCN-SMOTE) algorithm to resolve multi-class imbalance. …”
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Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment
Published 2022“…In order to validate the competence of these proposed algorithms, results were compared with another similar research work known as DPRS algorithm. …”
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