Search Results - (( framework implementing software algorithm ) OR ( java implementation clustering algorithm ))
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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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Thesis -
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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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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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Final Year Project -
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023“…Object-oriented application framework is one of the most important implementations of object-oriented software engineering. …”
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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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Rapid software framework for the implementation of machine learning classification models
Published 2021“…This paper provides an insight of a rapid software framework for implementing machine learning. …”
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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 computational framework for predicting software quality-in-use from software reviews
Published 2015“…Moreover, results of built use cases showed that employing minimal set of QinU features (properties) enable users to acquire software easily. As for future research, it is recommended to extend QinUF to support additional QinU characteristics, enhance sentiment orientation, specialize the framework to a certain software domain, and implement the framework in a large-scale system.…”
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13
Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Hadoop is an open source software framework that supports large data sets storage and processing in a distributed computing environment and well-known implementation of Map Reduce. …”
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A BBN-based framework for adaptive IP-reuse
Published 2009“…The complexity of implementing vision algorithm on embedded systems can greatly benefit from research in HW/SW partitioning and IP-reuse. …”
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Proceeding Paper -
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Hardware Software Partitioning Using Particle Swarm Optimization (PSO) In Image Processing Application
Published 2018“…The framework for hardware-software partitioning using PSO algorithm in MATLAB is developed. …”
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Monograph -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. …”
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Thesis -
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Hardware And Software Partitioning Using Genetic Algorithm In Image Processing Application
Published 2018“…The framework for HW-SW Partitioning using Genetic Algorithm (GA) is developed in MATLAB. …”
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Monograph -
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A test case generation framework based on UML statechart diagram
Published 2018“…In addition, a prototype to implement the framework was developed. The evaluation of the framework was conducted in three phases: prototyping, comparison with previous studies, and expert review. …”
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Edge assisted crime prediction and evaluation framework for machine learning algorithms
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A framework for multi-backpropagation
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