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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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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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CSC649 - Special Topics in Computer Science / College of Computing, Informatics and Media
Published 2022“…The course will cover specialized technology and described in terms of frameworks and problem formulations, standard models, methods, computational tools, algorithms, as well as methodologies to evaluate the system and select optimal models. …”
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CSC649: Special Topics in Computer Science / College of Computing, Informatics and Mathematics
Published 2018“…The course will cover specialized technology and described in terms of frameworks and problem formulations, standard models, methods, computational tools, algorithms, as well as methodologies to evaluate the system and select optimal models. …”
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Wideband patch antenna design using selective particle swarm optimization
Published 2012“…Here, a special part of solution space is selected for PSO process. …”
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Maximax & Maximin and 2FBlockwise Operators: Enhancement in the Evolutionary Algorithm for a Nurse Scheduling Problem
Published 2017“…In doing so, an improved selection operator and crossover operator in an Evolutionary Algorithm (EA) strategy for an NSP is developed as an enhanced algorithm. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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Bayesian Network Classifiers for Damage Detection in Engineering Material
Published 2007“…The state-of-the-art shows that most of the feature reduction techniques, if not all, which have been implemented for the damage detection are feature selection not extraction. Feature selection is less °exible than feature extrac- tion in that feature selection is, in fact, a special case of feature extraction (with a coe±cient of one for each selected feature and a coe±cient of zero for any of the other features). …”
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CSC709 - Special Topic (Computational Sciences) / College of Computing, Informatics And Media
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media
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CSC769: Special Topic (Security) / College of Computing, Informatics and Media
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CSC749: Special Topic (Database) / College of Computing, Informatics and Media
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CSC709: Special Topic (Computational Sciences) / College of Computing, Informatics and Mathematics
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CSC749: Special Topic (Database) / College of Computing, Informatics and Mathematics
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CSC769: Special Topic (Security) / College of Computing, Informatics and Mathematics
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Mathematics
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CSC789: Special Topic (Software Engineering) / College of Computing, Informatics and Mathematics
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Rule-based filtering algorithm for textual document
Published 2017“…Improper filtration might cause terms that have similar meaning to be removed.Thus, to reduce the high-dimensionality of text, this study proposed a filtering algorithm that is able to filter the important terms from the pre-processed text and applied term weighting scheme to solve synonym problem which will help the selection of relevant term.The proposed filtering algorithm utilizes a keyword library that contained special terms which is developed to ensure that important terms are not eliminated during filtration process.The performance of the proposed filtering algorithm is compared with rough set attribute reduction (RSAR) and information retrieval (IR) approaches.From the experiment, the proposed filtering algorithm has outperformed both RSAR and IR in terms of extracted relevant terms.…”
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