Search Results - (( java implementation phase algorithm ) OR ( using computing growth algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Application Of Bibliometric Analysis on Root Growth Algorithm
Published 2024“…The root growth algorithm has often been used to solve challenging optimization issues. …”
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The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The discretization of the three-dimensional parabolic equations for the brain tumor’s growth mathematical model using a numerical finite-difference method will be implemented from the previous study of two dimensional model and thus a parallelization of algorithm simulation to computational resources based on high-performance computing systems will be used to generate the growth of the brain tumor in three dimensional. …”
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High performance visualization of human tumor growth software
Published 2008“…The implementation of parallel algorithm based on parallel computing system is used to visualize the growth of human tumour. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
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Optimization of mycelium growth using genetic algorithm for multi-objective functions
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Undergraduates Project Papers -
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High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems
Published 2007“…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
Published 2010“…This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz’s wave equation on a distributed parallel computing system. …”
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High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
Published 2007“…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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Development of heuristic task scheduling algorithm in cloud computing
Published 2016“…In order to optimize these resources used, high level of scheduling algorithms are required. …”
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Fast temporal video segmentation based on Krawtchouk-Tchebichef moments
Published 2020“…This growth necessitates to look for superior techniques in processing video because video contains a lot of useful information. …”
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A behavioral trust model for internet of healthcare things using an improved FP-growth algorithm and Naïve Bayes classifier
Published 2021“…Towards securing these frameworks through an intelligent TMM, this work proposes a machine learning based Behavioral Trust Model (BTM), where an improved Frequent Pattern Growth (iFP-Growth) algorithm is proposed and applied to extract behavioral signatures of various trust classes. …”
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Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments
Published 2018“…For all TVS algorithm stages, the moments are computed only for region of interest. …”
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Impatient job scheduling under cloud computing
Published 2012“…The proposed algorithm was transplanted in an adopted scheduling algorithm and tested using simu-lation with a synthetic dataset. …”
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Enhancing speed performance of the cryptographic algorithm based on the lucas sequence
Published 2003“…The computation time analysis shows that whene doubling with remainder technique is used, the improvement of the speed rises rapidly compared to the standard implementation of the LUC algorithm and LUC algorithm with doubling rule. …”
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