7 results for “weighted clustering algorithm”

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Research ArticleOpen accessIn the keywordsTopology Control Using Efficient Power ManagementS. Karunakaran, P. ThangarajProblem statement: Effective Topology control will improve the performance and the capacity of Mobile Ad-hoc networks by building reliable network structure. Approach: Power level is used as the basis for topology control since it reduces spatial interference while increasing the effective channel capacity and network lifetime. Results: In this study, we design a topology control using efficient power management algorithm … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,715 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDF Cite

Research ArticleOpen accessIn the abstractINTELLISENSE CLUSTER MANAGEMENT AND ENERGY EFFICIENT ROUTING IN MOBILE AD HOC NETWORKSSangeetha Kuppusamy, Natarajan MathaiyanMobile Ad Hoc Network (MANET) is a collection of distributed nodes which communicate using multi-hop wireless links with frequent node mobility. The aim for ad hoc networks is to accommodate light-weight weight, battery supercharged transportable devices. Due to the restricted power, we've to vogue economical ways in which to use the current power. For a networking device, vital power is … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,367 accessesView PDF Cite

Research ArticleOpen accessIn the abstractUsing Hyper Clustering Algorithms in Mobile Network PlanningLamiaa Fattouh Ibrahim, Hesham A. SalmanProblem statement: As a large amount of data stored in spatial databases, people may like to find groups of data which share similar features. Thus cluster analysis becomes an important area of research in data mining. Applications of clustering analysis have been utilized in many fields, such as when we search to construct a cluster served by base station in … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 30 Aug 2011 · 7,504 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimizing Feature Construction Process for Dynamic Aggregation of Relational AttributesRayner AlfredProblem statement: The importance of input representation has been recognized already in machine learning. Feature construction is one of the methods used to generate relevant features for learning data. This study addressed the question whether or not the descriptive accuracy of the DARA algorithm benefits from the feature construction process. In other words, this paper discusses the application of genetic … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,929 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Novel Distributed Clustering Algorithm for Mobile Ad-hoc NetworksSahar Adabi, Sam Jabbehdari, Amirmasoud Rahmani, Sepideh AdabiThis paper proposed a new Distributed Score Based Clustering Algorithm (DSBCA) for Mobile Ad-hoc Networks (MANETs).In MANETs, select suitable nodes in clusters as cluster heads are so important. The proposed Clustering Algorithm considers the Battery Remaining, Number of Neighbors, Number of Members, and Stability in order to calculate the node's score with a linear algorithm. After each node calculates its … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,114 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDF Cite