Search Results - (( java application clustering algorithm ) OR ( variable interaction graph algorithm ))
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Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]
Published 2011“…In the next phase, the transformation of FSSM to fuzzy graph is studied. The theory from directed graphs is explored to define and interpret the interconnections structure underlying the dynamics of the interacting systems. …”
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Research Reports -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Thesis -
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
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Final Year Project -
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Conference or Workshop Item -
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A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis -
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Fluid particle interaction of Casson-Williamson fluid with Magnetohydrodynamics (MHD) and thermal radiation / Hamizah Abd Rahim
Published 2024“…This study utilizes tables and graphs to examine the effects of various parameters like Casson, Williamson, magnetic field, Prandtl number, radiation, and fluid-particle interaction across velocity and temperature profiles. …”
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Revolutionizing video analytics: a review of action recognition using 3D
Published 2024“…Findings show that integrating 3D video with action recognition algorithms augments accuracy and detail while challenges in video action recognition such as long video features capturing, temporal context maintenance, computational costs management, variability handling, inadequate training data, domain adaptation, and benchmarking methods are addressed. …”
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Article -
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Evolutionary approach for combinatorial testing of software product lines
Published 2020“…The approaches are (1) adopting an Estimation of Distribution Algorithm approach to aid the construction of a covering array driven by second order feature dependence, and (2) construct a feature configuration dependence graph to assist in building the variable-strength covering array. …”
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Analysis of Moderating Effect of Turnover Intention on the Relationship of Intrinsic Motivation and Employee Performance
Published 2024“…The second stage employed the PLS Algorithm process, generating a simple slope graph. …”
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An integrated model of automated elementary programming feedback using assisted and recommendation approach
Published 2017“…Meanwhile, similar difficulty groups of the computer programs were generated using a K-Means clustering algorithm that was enhanced with ranking consideration. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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Improved model for blood glucose control using Multi-Parametric Model Predictive Control (MP-MPC) / Nur Farhana Mohd Yusof
Published 2019“…As a result, we managed to have a good correlation on interactions between the parameters in glucose-insulin intervention. …”
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Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property
Published 2013“…It was also found that the graph based neighbours would increase the chance of the spatial model to predict better. …”
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Thesis