Search Results - (( variable section process algorithm ) OR ( java application clustering 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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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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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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Fault diagnostic algorithm for precut fractionation column
Published 2004“…The fault diagnostic algorithm is supported by the process history based method and developed by using Borland C++ Builder 6.0. …”
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Test of Self Por [decoded] trait no. 2 / Syafiq Abdul Samat
Published 2021“…However, since this is generative art, result often varies by each render, yet maintain recognizable similarities between the same algorithms. These process of collecting variables of available sounds and lights was the origin for the name “Hingarmera”, a wordplay of “Hingar” (means “noisy” in Malay language) and Camera. …”
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Book Section -
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New synchronization protocol for distributed system with TCP extension
Published 2013“…Faulty processes may cause some other active processes to become inactive during the queuing or within the using a critical section time. …”
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Thesis -
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Crossover and mutation operators of genetic algorithms
Published 2017“…Genetic algorithms (GA) are stimulated by population genetics and evolution at the population level where crossover and mutation comes from random variables. …”
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Coronary artery stenosis detection and visualization / Tang Sze Ling
Published 2015“…A metrics to select the best representation of vessel cross section is incorporated with tracking direction estimation throughout the centerline extraction process. …”
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Crossover and mutation operators of genetic algorithms
Published 2017“…Genetic algorithms (GA) are stimulated by population genetics and evolution at the population level where crossover and mutation comes from random variables. …”
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Article -
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Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm
Published 2023“…The optimization of the machining process was carried out in this research to optimize the machining process by minimizing temperature rise for turning machining. …”
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Conference or Workshop Item -
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Linear regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography / Yong Yan Yin
Published 2018“…The average absolute error of luminal area estimation is 1.38 % and the processing rate is 40.6 ms per image. In addition, an inter-observer variability test was performed and has shown that the proposed algorithm has comparable variability against manual luminal area estimations by expert human observers. …”
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Synthesis of Heat Exchangers Network (HEN) by Revisiting the Method Based on 2nd Law of Thermodynamics
Published 2009“…Then, literature review gives clearly about the theory of the project. The following section touches on methodology of the project. Algorithm of HEN has been displayed in this section. …”
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Final Year Project -
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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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Thesis -
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