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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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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 method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  3. 3
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  4. 4
    Building an Algorithm for Measuring C Programming Assignments Quality

    Building an Algorithm for Measuring C Programming Assignments Quality by Muhd Zulhafriz Aadel bin Marzuki, Muhd Zulhafriz

    Published 2008
    “…The focuses of this final report is to provide a clear idea on the development of programming assignment’s quality measurement algorithm. …”
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    Final Year Project
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  5. 5
    Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter

    Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter by Mohd Zainuri, Muhammad Ammirrul Atiqi, Mohd Radzi, Mohd Amran, Che Soh, Azura, Abd Rahim, Nasrudin

    Published 2014
    “…For evaluation and comparison analysis, conventional P&O and fuzzy logic control algorithms have been developed too. All the algorithms were simulated in MATLAB-Simulink, respectively, together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter. …”
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  6. 6
    Enhancing understanding of programming concepts through physical games

    Enhancing understanding of programming concepts through physical games by Raja Yusof, Raja Jamilah, Habib, Ahsan

    Published 2017
    “…The activities were conducted involving first and fourth year undergraduate students and Master students in Programming 1 (31 students), Data Structure (6 students), Analysis of Algorithm (12 students) and Advanced Algorithm (22 students) courses respectively. …”
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  7. 7
    Analyzing students’ experience in programming with computational thinking through competitive, physical, and tactile games: The quadrilateral method approach

    Analyzing students’ experience in programming with computational thinking through competitive, physical, and tactile games: The quadrilateral method approach by Habib, M. A. a, Raja-Yusof, R. -J., Salim, S. S.a, Sani, A. A. a, Sofian, H., Abu Bakar, A.

    Published 2021
    “…The CT elements in this research focus on four major programming concepts, which are decomposition, pattern recognition, abstraction, and algorithmic thinking. …”
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  8. 8
    Real-Time Video Processing Using Native Programming on Android Platform

    Real-Time Video Processing Using Native Programming on Android Platform by Saipullah, Khairul Muzzammil

    Published 2012
    “…The efficiencies of the two applications with difference programming language are compared by observing their frame processing rate. …”
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  9. 9
    A modified shuffled frog leaping algorithm and its application to short-term hydrothermal scheduling / Mohamad Khairul Hakimi Abdul Hady

    A modified shuffled frog leaping algorithm and its application to short-term hydrothermal scheduling / Mohamad Khairul Hakimi Abdul Hady by Abdul Hady, Mohamad Khairul Hakimi

    Published 2016
    “…Hydrothermal scheduling problem involves large, nonconvex, dynamic and nonlinear programing by observing all constraints. The most important purpose of this study is to obtain the minimum total fuel cost at thermal and the optimal generated power process for every unit hydro and thermal plant. …”
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  10. 10
    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm

    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele, B.V., Mustapa, S.I., Kanthasamy, R., Mohammad, N., AlTurki, A., Babu, T.S.

    Published 2022
    “…Whereas the best performance in terms of prediction of the syngas composition was obtained using the NLRQM algorithm with an inbuilt SQP and LM algorithms. The observed syngas composition was consistent with predicted values with R2 > 0.97 for the three catalyzed co-gasification processes. …”
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  11. 11
    Developing and validating a simulation model for counting and classification of vehicles

    Developing and validating a simulation model for counting and classification of vehicles by Ali Emad Jehad, Riza Atiq O.K. Rahmat

    Published 2016
    “…The algorithm program was developed to detect vehicles in traffic videos and get the vehicle count for the small time period as an assistance tool for a researcher who seeks vehicle counting.…”
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  12. 12
    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm

    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele B.V., Mustapa S.I., Kanthasamy R., Mohammad N., AlTurki A., Babu T.S.

    Published 2023
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  13. 13
    Charge-coupled device based on optical tomography system for monitoring two-phase flow

    Charge-coupled device based on optical tomography system for monitoring two-phase flow by Jamaludin J., Rahim R.A., Rahim H.A., Rahiman M.H.F., Rohani J.M.

    Published 2024
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  14. 14
    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm

    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm by Hong, Mee Song

    Published 2016
    “…The results of these four different test cases were compared with the optimization techniques reported in recent literature in order to observe the effectiveness of FPA. Result shows FPA able to perform better than other algorithms by having minimum fuel cost and emission.…”
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  15. 15
    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm

    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele, B.V., Mustapa, S.I., Kanthasamy, R., Mohammad, N., AlTurki, A., Babu, T.S.

    Published 2022
    “…Whereas the best performance in terms of prediction of the syngas composition was obtained using the NLRQM algorithm with an inbuilt SQP and LM algorithms. The observed syngas composition was consistent with predicted values with R2 > 0.97 for the three catalyzed co-gasification processes. …”
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  16. 16
    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub Md. Som

    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

    Published 2014
    “…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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    Monograph
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  17. 17
    Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm

    Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm by NGU, SU HANG

    Published 2023
    “…The diseased lettuce can be healed if it is observed in early stage, but the lesion of disease area in early stage is hard to observe with raw eye. …”
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    Final Year Project Report / IMRAD
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  18. 18
    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python

    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python by Bhaskar, Hariyaran

    Published 2020
    “…This project uses Python as its programming language and OpenCV as an open-source library for programming. …”
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    Monograph
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  19. 19
    Optimizing Ram Testing Method For Test Time Saving Using Automatic Test Equipment

    Optimizing Ram Testing Method For Test Time Saving Using Automatic Test Equipment by Kesavan Prabagaran, Premkumar

    Published 2017
    “…For this examples, approximate 33% of test time reduction observed for 1Kbyte memory testing with Hammer Head algorithm. …”
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  20. 20
    A regression test case selection and prioritization for object-oriented programs using dependency graph and genetic algorithm

    A regression test case selection and prioritization for object-oriented programs using dependency graph and genetic algorithm by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

    Published 2014
    “…This paper presents an evolutionary regression test case prioritization for object-oriented software based on dependence graph model analysis of the affected program using Genetic Algorithm. The approach is based on optimization of selected test case from test suite T. …”
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