Search Results - (( developing customer optimisation algorithm ) OR ( java application classification algorithm ))
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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…This thesis focuses on the development of a new stream of crossover within genetic algorithms, called Optimised Crossover Genetic Algorithm (OCGA) for solving combinatorial optimisation problems, which takes into account the objective function in finding the best ofspring solution among an exponentially large number of potential ofspring. …”
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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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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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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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User-friendly tool for power flow analysis and distributed generation optimisation in radial distribution networks
Published 2017“…This paper gives an overview of a software package developed in this study, called Power System Analysis and DG Optimisation Tool (PFADOT). …”
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Solving a multi-period inventory routing problem with stochastic unstationary demand rates
Published 2022“…The mathematical model is modified by the addition of a forecasting technique to determine the customer demand rates to supply the inventories and develop the best vehicle routes for the delivery process. …”
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Solving a multiperiod inv entory routing problem with stochastic unstationary demand rates
Published 2022“…The mathematical mod el is modified by the addition of a forecasting technique to determine the customer demand rates to supply the inventories and develop the best vehicle routes for the delivery process. …”
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A windows-based tool for power flow analysis and DG optimisation in radial distribution networks
Published 2011“…This paper gives an overview of a software package developed in this study, called power system analysis and DG optimisation tool (PFADOT). …”
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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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Variable Neighbourhood Search Algorithm for Vehicle Routing Problem with Backhaul
Published 2023“…VRPB consists of both linehaul customers and backhaul customers with known demand. …”
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Menu recommendation for Restoran Jannat Saba using Market Basket analysis / Dinie Sorfina Fathanah Kamarul Ariffin
Published 2025“…Overall, the project showcases the power of data analytics in optimising operations and customer satisfaction, with plans to integrate real-time data and expand analysis for seasonal trends and customer demographics for specialised recommendations.…”
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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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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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Malaysian secondary boarding school menu planning system / Suliadi F. Sufahani and Anuar M. Yusof
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