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  1. 1
    Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detection / Nur Asikin Mohd Sayud

    Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detecti... by Mohd Sayud, Nur Asikin

    Published 2018
    “…In ArcGlS software, DEM data will be process by using terrain roughness model that has been derived by using Slope Variability algorithm. …”
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  2. 2
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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  3. 3
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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    Monograph
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  4. 4
    Mixed variable ant colony optimization technique for feature subset selection and model selection

    Mixed variable ant colony optimization technique for feature subset selection and model selection by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

    Published 2013
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    Conference or Workshop Item
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  5. 5
    Minimization of Test Cases and Fault Detection Effectiveness Improvement through Modified Reduction with Selective Redundancy Algorithm

    Minimization of Test Cases and Fault Detection Effectiveness Improvement through Modified Reduction with Selective Redundancy Algorithm by Nikfal, Shima

    Published 2007
    “…Then the algorithm gathers all the test cases based on the definition occurrence and def-use pair if they cover same definition occurrence of one variable but they don’t cover def-use pair of the same variable. …”
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  6. 6
    Formulating new enhanced pattern classification algorithms based on ACO-SVM

    Formulating new enhanced pattern classification algorithms based on ACO-SVM by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

    Published 2013
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  7. 7
    Feature selection and model selection algorithm using incremental mixed variable ant colony optimization for support vector machine classifier

    Feature selection and model selection algorithm using incremental mixed variable ant colony optimization for support vector machine classifier by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

    Published 2013
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  8. 8
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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  9. 9
    To study the multi-objective optimization of EDM using genetic algorithm

    To study the multi-objective optimization of EDM using genetic algorithm by Fairuz, Idris

    Published 2013
    “…In the process of the study, the second- order mathematical model has been create as a fitness function using MATLAB software to generate multi-objective optimization responses using Genetic Algorithms, peak current, pulse-on time, pulse-off time and servo voltage are act as input of parameter setting. …”
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    Undergraduates Project Papers
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  10. 10
    STUDIES ON COMPARISON OF PROPORTIONAL ON ERROR WITH PROPORTIONAL ON MEASURED VALUE IN PID CONTROLLERS

    STUDIES ON COMPARISON OF PROPORTIONAL ON ERROR WITH PROPORTIONAL ON MEASURED VALUE IN PID CONTROLLERS by WAN MOHD RUSHIDI, WAN AMIR HAKIMI

    Published 2019
    “… PID Controllers have different algorithms or methods in which the controller action is based on Error or Process Variable (PV). …”
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    Final Year Project
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  11. 11
    Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach

    Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach by Gambo, Nuru, Said, Ilias, Ismail, Radzi

    Published 2016
    “…A Warp partial least square-structural equation modeling (PLS-SEM) software algorithm was used for the analysis of collected data. …”
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  12. 12
    A rule-based energy management system for hybrid renewable energy sources with battery bank optimized by genetic algorithm optimization

    A rule-based energy management system for hybrid renewable energy sources with battery bank optimized by genetic algorithm optimization by Jamal S., Pasupuleti J., Ekanayake J.

    Published 2025
    “…However, this process is affected by several factors, like load variability, market pricing, and the intermittent nature of Wind Turbines (WTs) and Photovoltaic (PV) systems. …”
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  13. 13
    Prospects for basal stem rot disease based on soil apparent electrical conductivity in oil palm plantation

    Prospects for basal stem rot disease based on soil apparent electrical conductivity in oil palm plantation by Mohd Husin, Ezrin

    Published 2020
    “…Furthermore, the software was developed by using MATLAB to produce a predicted BSR map in oil palm plantation based on the developed algorithm. …”
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  14. 14
    Solving SVM model selection problem using ACOR and IACOR

    Solving SVM model selection problem using ACOR and IACOR by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

    Published 2013
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  15. 15
    Comparison of meta-heuristic algorithms for fuzzy modelling of covid-19 illness’ severity classification

    Comparison of meta-heuristic algorithms for fuzzy modelling of covid-19 illness’ severity classification by Nur Azieta, Mohamad Aseri, Mohd Arfian, Ismail, Abdul Sahli, Fakharudin, Ashraf Osman, Ibrahim, Shahreen, Kasim, Noor Hidayah, Zakaria, Sutikno, Tole

    Published 2022
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  16. 16
    Image Based Congestion Detection Algorithms And Its Real Time Implementation

    Image Based Congestion Detection Algorithms And Its Real Time Implementation by Khdiar, Ahmed Nidhal

    Published 2015
    “…The methodology includes vehicle detection by using backlight pairing feature algorithm and modified Watershed algorithm. The results returned by the algorithms are transmitted and received wirelessly using the SFFSDR platform, including the use of RF, FPGA, and DSP modules for variable distances. …”
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  17. 17
    Solving Support Vector Machine Model Selection Problem Using Continuous Ant Colony Optimization

    Solving Support Vector Machine Model Selection Problem Using Continuous Ant Colony Optimization by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

    Published 2013
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  18. 18
    Production quantity estimation using an improved artificial neural network

    Production quantity estimation using an improved artificial neural network by Dzakiyullah, Raden Nur Rachman

    Published 2015
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  19. 19
    The effectiveness of an agile software methodology: empirical evidence on humanistic aspects / Mazni Omar

    The effectiveness of an agile software methodology: empirical evidence on humanistic aspects / Mazni Omar by Omar, Mazni

    Published 2012
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  20. 20
    Power management system for smart microgrid considering meteorological and load demand data / Sam Koohikamali

    Power management system for smart microgrid considering meteorological and load demand data / Sam Koohikamali by Sam , Koohikamali

    Published 2015
    “…Microgrid is able to supply its local load based on operator decision and decline the power oscillations caused by solar photovoltaic (PV) plant together with variable loads. An algorithm is also proposed which helps to precisely design the battery energy storage plant. …”
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