Search Results - (( java implementation clustering algorithm ) OR ( parameters reduction function algorithm ))
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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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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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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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Design of super twisting algorithm for chattering suppression in machine tools
Published 2017“…This paper elaborates on the design and analysis of the super twisting algorithm with focus on optimizing the gain parameters. …”
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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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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…In the nonlinear ANC literature, various nonlinear algorithms have been introduced. These nonlinear algorithms were employed to improve noise reduction performance. …”
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The PID controller parameter tuning based on a modified differential evolutionary optimization algorithm for the intelligent active vibration control of a combined single link robo...
Published 2025“…According to simulation findings, the technique can be used to optimize the PID controller parameters settings for the IAVC of the CSLRFM and a reduction in the mechanical vibrations. …”
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Optimal power flow using hybrid firefly and particle swarm optimization algorithm
Published 2020“…The particular fitness function is chosen as a single objective based on control parameters. …”
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Loudspeaker nonlinearity compensation with inverse tangent hyperbolic function-based predistorter for active noise control
Published 2014“…Simulation results show that using the proposed PD along with the FXLMS algorithm increase the noise reduction performance significantly. …”
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Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
Published 2014“…Apart from that, the manual way consume too much time, especially when dealing with thousands of well parameters. Hence, this project, which propose the usage of assisted history matching technique with Genetic Algorithm (GA) as the optimization tool and Discrete Cosine Transform (DCT) as the parameter reduction method is carried out in order to achieve the objective of minimizing the time taken to do history matching. …”
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Final Year Project -
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Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks
Published 2021“…To prevent the neurons and network parameters selection dilemma during trial and error approach, RBF with EMRAN training algorithm is proposed. …”
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Enhancement of Over-Exposed and Under-Exposed Images Using Hybrid Gamma Error Correction Sigmoid Function
Published 2007“…The first variant, combines the sigmoid function inside the gamma compensation function while the second variant combines the gamma compensation function inside the sigmoid function. …”
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The impact of executive function and aerobic exercise recognition in obese children under deep learning
Published 2025“…It was to investigate the impact of an optimized OpenPose motion recognition model assisted by spatial transformer network (STN) and Lucas–Kanade optical flow algorithm on the functional capacity of children with simple obesity during aerobic exercise. …”
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Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems
Published 2024“…The Nonlinear Sine Cosine Algorithm (NSCA) is introduced as a key extension, incorporating a versatile nonlinear decreasing gain into the transition parameter mechanism. …”
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