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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
    Integrated Scheduling and RTO of RGP with MPC and PI Controllers

    Integrated Scheduling and RTO of RGP with MPC and PI Controllers by Yusoff, Nooryusmiza, Ramasamy , Marappagounder

    Published 2009
    “…Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by model predictive control (MPC) scheme and proportional-integral (PI) controllers for comparison. …”
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  3. 3
    Integrated Scheduling and RTO of RGP with MPC and PI Controllers

    Integrated Scheduling and RTO of RGP with MPC and PI Controllers by Yusoff, Nooryusmiza, Ramasamy , Marappagounder

    Published 2009
    “…Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by model predictive control (MPC) scheme and proportional-integral (PI) controllers for comparison. …”
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  4. 4
    Integrated scheduling and RTO of RGP with MPC and PI controllers

    Integrated scheduling and RTO of RGP with MPC and PI controllers by Yusoff, Nooryusmiza, Ramasamy , Marappagounder

    Published 2009
    “…Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by Model Predictive Control (MPC) scheme and Proportional-Integral (PI) controllers for comparison. …”
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  5. 5
    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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  6. 6
    Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau

    Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau by Engkiau, Robert

    Published 2003
    “…Results from existing Genetic Algorithm (GA) program were used as the NN training and testing data set. …”
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  7. 7
    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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  8. 8
    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
    “…New Iterative Alternating Group Explicit (NAGE) is a powerful parallel numerical algorithm for multidimensional temperature prediction. …”
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  9. 9
    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail

    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail by Ismail, Nor Laili

    Published 2024
    “…Subsequently, the proposed HEBMO was integrated with an artificial neural network (ANN) for the scheduling of input features of the generator to predict total fuel cost and emission in power system planning. …”
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  10. 10
    HELM based Reinforcement Learning for Goal Localization

    HELM based Reinforcement Learning for Goal Localization by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2016
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  11. 11
    Selecting quality initial random seed for metaheuristic pproaches: a case of timetabling problem

    Selecting quality initial random seed for metaheuristic pproaches: a case of timetabling problem by Md Sultan, Abu Bakar, Mahmod, Ramlan, Sulaiman, Md. Nasir, Abu Bakar, Mohd Rizam

    Published 2008
    “…The University Course Timetabling Problems (UCTP) deals with the scheduling of the teaching program. Metaheuristic techniques have been very successful in a wide range of timetabling problem including UCTP. …”
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