Search Results - (( _ application designing algorithm ) OR ( its application clustering algorithm ))
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Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
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Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
Published 2006“…In this work the applications of a number of self-organizing map (SOM) neural network algorithms to the clustering of chemical datasets are investigated. …”
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Conference or Workshop Item -
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Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
Published 2023“…The AGMB algorithm is built upon three algorithms: 1) Grid-Multi-Buffer Stream Clustering (GMBSC), 2) Cautious Grid-Multi-Buffer Stream Clustering (C-GMBSC) and 3) Adaptive-Grid-Multi-Buffer Stream Clustering (A-GMBSC). …”
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Clustering of chemical compounds using unsupervised neural networks algorithms : a comparison
Published 2006“…In this work the applications of a number of self-organizing map (SOM) neural network algorithms to the clustering of chemical datasets are investigated. …”
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Conference or Workshop Item -
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Adaptive fault tolerant checkpointing algorithm for cluster based mobile Ad Hoc networks
Published 2015“…This has made possible to create a distributed mobile computing application and has also brought several new challenges in distributed algorithm design. …”
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Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…The aim to design MC and SAN algorithms is to increase data aggregation efficiency in terms of energy consumption, End-to-end delay, whereas the aim to design AD algorithm is to conserve aggregated data accuracy. …”
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Hyper-heuristic framework for sequential semi-supervised classification based on core clustering
Published 2020“…This article presents a prominent framework that integrates each of the NN, a meta-heuristic based on evolutionary genetic algorithm (GA) and a core online-offline clustering (Core). …”
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Designing new chaotic and hyperchaotic systems for chaos-based cryptography
Published 2019“…To investigate its performance in terms of security, a new chaos-based image encryption algorithm is also proposed. …”
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Data Transformation Model For Addressing Incomplete And Inconsistent Quality Issues Of Big Data
Published 2024“…The complete and consistent data are put into clusters, and the designed algorithm predicts the position of any incomplete and inconsistent data, based on its value to be added to the specific cluster. …”
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A Novel Dynamic Evolutionary Model Integrating Discrete Hopfield Neural Networks With Satisfiability Problems And Its Applications In Image Encryption And Decryption
Published 2025“…This thesis proposes a series of innovative DHNN-SAT variants and their applications. To address the inefficiency of traditional DHNN-SAT networks in solving SAT problems with dynamic constraints, a Dynamically Evolving Discrete Hopfield-SAT Neural Network with a flexible and scalable architecture is specifically designed. …”
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Stability improvement low energy adaptive clustering hierarchy routing (sileach) protocol for wireless sensor network
Published 2017“…Hence, it is motivated us to enhance Improved LEACH algorithm to provide higher stability. In this project, a protocol named Stable Improved LEACH is designed to overcome the shortcomings of Improved LEACH. …”
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Stability improved of improved low energy adaptive clustering hierarchy routing protocol for wireless sensor network
Published 2017“…Hence, it is motivated us to enhance Improved LEACH algorithm to provide higher stability. In this project, a protocol named Stable Improved LEACH is designed to overcome the shortcomings of Improved LEACH. …”
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