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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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Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm
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Conference or Workshop Item -
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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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A novel hybrid approach for maximizing the extracted photovoltaic power under complex partial shading conditions
Published 2020“…More importantly, this algorithm is applicable for any PV array configuration, which enhances the robustness and novelty of the algorithm. …”
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Performance evaluation of vector evaluated gravitational search algorithm II
Published 2014“…The VEGSAII algorithm uses a number of populations of particles. …”
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On spectral efficiency maximization in a partial joint processing system using a multi-start particle swarm optimization algorithm
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Parametric Optimization for the Maximization of Hydrogen Production by Enterobacter Cloacae
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Final Year Project -
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Optimization of milling parameters using ant colony optimization
Published 2008“…The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation.…”
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Undergraduates Project Papers -
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Small Farmers' Decisions: Utility Versus Profit Maximization
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Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
Published 2014“…The VEGSA algorithms use a number of populations of particles. …”
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Evaluation and optimization of frequent, closed and maximal association rule based classification
Published 2014“…Real world applications of association rule mining have well-known problems of discovering a large number of rules, many of which are not interesting or useful for the application at hand.The algorithms for closed and maximal item sets mining significantly reduce the volume of rules discovered and complexity associated with the task, but the implications of their use and important differences with respect to the generalization power, precision and recall when used in the classification problem have not been examined.In this paper, we present a systematic evaluation of the association rules discovered from frequent, closed and maximal item set mining algorithms, combining common data mining and statistical interestingness measures, and outline an appropriate sequence of usage.The experiments are performed using a number of real-world datasets that represent diverse characteristics of data/items, and detailed evaluation of rule sets is provided as a whole and w.r.t individual classes. …”
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Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)
Published 2021“…Hence, the integration of EM algorithm estimation is applicable in improving the performance of automated model selection procedures for multiple equations models…”
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Using the bees algorithm to optimise a support vector machine for wood defect classification
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Conference or Workshop Item -
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Performance evaluation of uncoordinated beamforming over cognitive radio network
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