Search Results - (( program risk selection 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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The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
Published 2004“…This article describes ongoing research to overcome these limitations through the CoRGA program, which combines Cox regression with a genetic algorithm for the variable selection process. …”
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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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Selection of prospective workers using profile matching algorithm on crowdsourcing platform
Published 2022“…This algorithm is able to select worker profiles from 10,000 datasets, up to 1148 people who are most suitable for the tasks offered. …”
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Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Published 2022“…ML can examine millions of data sets in a short period of time without being explicitly programmed to improve the results. This type of algorithm can aid financial institutions in making grant selections for their clients. …”
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Implementation of Health Monitoring System for Patients using Machine Learning Algorithms
Published 2024“…We created a machinelearning- based solution for the wellness program industry that uses Internet Of Medical Things (IoMT) devices to forecast cardiovascular risk. …”
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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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Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management
Published 2009“…The two stage stochastic risk model is then reformulated using Mean Absolute Deviation as the risk measure. …”
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Final Year Project -
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Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management
Published 2009“…The two stage stochastic risk model is then reformulated using MeanAbsolute Deviation as the risk measure. …”
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Final Year Project -
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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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Performance of hybrid GANN in comparison with other standalone models on dengue outbreak prediction
Published 2016“…Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs such as awareness campaigns for the high risk population before an outbreak occurs. …”
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Development of optimized maintenance scheduling model for coal-fired power plant boiler
Published 2023“…In this thesis, two different approaches, Mixed Integer Linear Programming (MILP) and Particle Swarm Optimization (PSO) were selected to solve the maintenance schedule and optimization problems in coal-fired power plant boilers. …”
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