Search Results - (( programming ability optimisation algorithm ) OR ( java application classification algorithm ))
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1
Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was mainly developing using java programming. Apache Tom cat was used as a server in order to run the application smoothly. …”
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Thesis -
2
Novel techniques for voltage stability assessment and improvement in power system / Ismail Musirin.
Published 2004“…The results obtained from the voltage stability analysis using FVSI were utilized to predict system violation, identify most sensitive line corresponds to a load bus and estimate the maximum load ability and operating margin in the system. A new Evolutionary programming (EP) based acceleration search algorithm was developed to accelerate the process in estimating maximum load ability in a power system. …”
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Thesis -
3
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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4
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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5
Development of multi-objective Chaotic Immune Symbiotic Organisms Search (CISOS) algorithm for facts device installation in voltage security control / Mohamad Khairuzzaman Mohamad...
Published 2019“…Comparative studies were also conducted with respect to other existing optimisation techniques namely Symbiotic Organisms Search (SOS), Particle Swarm Optimization (PSO) and Evolutionary Programming (EP). …”
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6
Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain
Published 2022“…Below is the comparison of the fitness value among 20 metaheuristics algorithms run through Python programming.…”
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Monograph -
7
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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Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin
Published 2012“…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling
Published 2017“…Specifically, this research has been conducted with the core objective to develop a customised programming model for multi-purpose optimisation using this penalty cost method that ties together divergent objectives unique to Islamic banks. …”
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11
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
14
Corrigendum to “Integrated miniature fluorescent probe to leverage the sensing potential of ZnO quantum dots for the detection of copper (II) ions”
Published 2014“…The probe was operated using a microcontroller (Arduino Uno Revision 3) that has been programmed with the analytical response and the working algorithm of the electronics. …”
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Article -
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Feature clustering for pso-based feature construction on high-dimensional data
Published 2019“…Feature construction (FC) refers to a process that uses the original features to construct new features with better discrimination ability. Particle Swarm Optimisation (PSO) is an effective search technique that has been successfully utilised in FC. …”
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