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  1. 1

    Poverty Classification of Central Perak Population Using Machine Learning by P.Rajendran, Kumaran

    Published 2019
    “…In this study, back propagation algorithm and other machine learning algorithm will be used to build models via anaconda using python programming language that can classify each poor household appropriate their poverty status. …”
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    Final Year Project
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    Classification models for higher learning scholarship award decisions by Wirawati Dewi Ahmad, Azuraliza Abu Bakar

    Published 2018
    “…A dataset of successful and unsuccessful applicants was taken and processed as training data and testing data used in the modelling process. Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
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    Article
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    Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak by Ishak, Najihah Salsabila

    Published 2021
    “…A classifier model is developed using Naive Bayes characteristics. A comparison between built-in Scikit Learn Naive Bayes algorithm, and the scratch Naive Bayes algorithm is used to measure its effectiveness in terms of accuracy. …”
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    Thesis
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    CONTINGENCY ANALYSIS OF POWER SYSTEM NETWORKS by ABDUL RAUF, MOHD HAFIZ

    Published 2006
    “…Several techniques have been developed to analyze the status of the system after the real outage occurs. …”
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    Final Year Project
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    Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi by Muhammad, Faisal

    Published 2024
    “…Village development and assistance program is a strategy implemented to accelerate socio cultural development to increase the capacity of village governance and more organized administration. …”
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    Thesis
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    Enhanced dynamic security assessment for power system under normal and fake tripping contingencies. by A. Salih, Qusay

    Published 2019
    “…The hybrid logistic model tree (hybrid LMT) approach proposed in this study combines the symmetrical uncertainties (SU) algorithm and the logistic model tree (LMT) algorithm. …”
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    Thesis
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    AI chatbot system for educational institutions by Tan, Hui Hui

    Published 2023
    “…This project presents the design and development of an advanced chatbot system powered by deep learning algorithms for intent classification. …”
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    Final Year Project / Dissertation / Thesis
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    Development of unmanned surface vehicle with real-time water quality monitoring system by Mohamed Kassim, Anuar, Jamri, Mohd Saifuzam, Mohd Aras, Mohd Shahrieel, Ab Wahab, Norfariza, Jaya, A.K.R.A., Yasuno, Takashi

    Published 2023
    “…The ISE sensor such as temperature, pH, electrical conductivity (EC), oxidation reduction potential (ORP), dissolved oxygen (DO) and turbidity with the GPS device is used on the. The USV also developed with auto navigation through all the targeted area by using GPS coordinate and path planning algorithm programmed in the USV controller. …”
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    Conference or Workshop Item
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    Distribution network fault section estimation using analytical database approach by Mokhtar, Ahmad Safawi

    Published 2004
    “…Database search and comparison algorithms were developed to identify the faulty section fix the network. …”
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    Thesis
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    Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant by Kavandi, Nader

    Published 2011
    “…The main objective of this research was to develop a software program that enables a regular PDA to replace a conventional camera vision system used for maturity inspection of oil palm fresh fruit bunches. …”
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    Thesis
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    Design and development of iRemote Terminal Unit (iRTU) for undervoltage and overvoltage fault by Wan Nor Shela Ezwane, Wan Jusoh

    Published 2014
    “…The importance of design and development of iRTU is being able to provide a system that can continuously collect, process, store data and operate independently through programming and save time and cost. …”
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    Thesis
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    Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining by Termedi @ Termiji, Mohammad Izzuan

    Published 2023
    “…Findings indicated that the high influential attributes in predicting students’ academic performance are district, type of school, dual language program (DLP) status, religion, dormitory, nationality, guardian’s job, guardian’s salary group, and mid-year exam results. …”
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    Thesis
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