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  1. 1
    Optimization of turning parameters using genetic algorithm method

    Optimization of turning parameters using genetic algorithm method by Shah Izwandi, Mohd Zawawi

    Published 2008
    “…This study about development of optimization for turning parameters based on the Genetic Algorithm (GA). …”
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  2. 2
    Optimization of turning parameters using ant colony optimization

    Optimization of turning parameters using ant colony optimization by Mohamad Nazri, Semoin

    Published 2008
    “…The project objectives are to develop Ant Colony Optimization (ACO) algorithm for CNC turning process and to optimize turning parameters for minimized production cost per unit. …”
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  3. 3
    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…An Intelligent Learning System for the turning process was developed. Visual C++ object-oriented programming language was used to build the Intelligent Learning System for Turning. …”
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  4. 4
    Implementation of an autonomous mobile robot navigation algorithm using C language

    Implementation of an autonomous mobile robot navigation algorithm using C language by Subra Mullisi, Shafeq Marwan

    Published 2009
    “…This report basically discusses the study and also work that has been done from previous of the chosen topic, which is Implementation of an Autonomous Mobile Robot Navigation Algorithm using 'C' language. The objective of the project is to develop navigation algorithm for the autonomous mobile robot. …”
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  5. 5
    Estimation of electric vehicle turning radius through machine learning for roundabout cornering

    Estimation of electric vehicle turning radius through machine learning for roundabout cornering by Ashaa, Supramaniam, Muhammad Aizzat, Zakaria, Kunjunni, Baarath, Mohamad Heerwan, Peeie, Ahmad Fakhri, Ab. Nasir, Muhammad Izhar, Ishak

    Published 2021
    “…The augmented basic measurements is fed to an Extra Tree Regression to predict the turning radius of the vehicle. The feasibility of the developed algorithm was tested and validated using performance metrics. …”
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  6. 6
    Towards the utilization of normalized LMS algorithm in adaptive filter

    Towards the utilization of normalized LMS algorithm in adaptive filter by Misbah Emhammed, Misbah Abdelsalam, Ho, Yih Hwa

    Published 2014
    “…In this paper, we focused on how the development of algorithms helped reduce the level of noise. …”
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  7. 7
    Energy cost optimization in high speed hard turning using simulated annealing algorithm

    Energy cost optimization in high speed hard turning using simulated annealing algorithm by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Hassan, Muhammad Hasibul, Shaffiar, Norhashimah

    Published 2015
    “…Regression models have been developed by using Box-Behnken design as a design of experiment. …”
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  8. 8
    Application of Krylov Subspace methods for solving Continuous Power Flow problem in voltage stability analysis of power system

    Application of Krylov Subspace methods for solving Continuous Power Flow problem in voltage stability analysis of power system by Jasni, Jasronita

    Published 2010
    “…These developed algorithms are tested on 14, 118 and 300 IEEE bus systems. …”
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  9. 9
    Enhancing obfuscation technique for protecting source code against software reverse engineering

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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  10. 10
    Developing algorithm for object tracking using passive sensors

    Developing algorithm for object tracking using passive sensors by Cheam, S.-R., Saman, A.B.S.

    Published 2014
    “…This paper describes the development of object tracking algorithm which in turns implemented on a low speed tethering using two mobile robots. …”
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  11. 11
    Development of vision autonomous guided vehicle behaviour using neural network

    Development of vision autonomous guided vehicle behaviour using neural network by Husnul ‘Asyiyyah, Mohamad @ Awang

    Published 2012
    “…The objectives of this project are to develop a line recognition algorithm for automated guided vehicle and to understand two types of neural networks that can be use in manufacturing. …”
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  12. 12
    Optimization grid scheduling with priority base and bees algorithm

    Optimization grid scheduling with priority base and bees algorithm by Ahmed, Mohammed Shihab

    Published 2014
    “…The main aim of this current research to propose an optimization of the initial scheduler for grid computing using the bees algorithm. Modern algorithms informed this research. …”
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  13. 13
    Slice sampler algorithm for generalized pareto distribution

    Slice sampler algorithm for generalized pareto distribution by Rostami, Mohammad, Adam, Mohd Bakri, Yahya, Mohamed Hisham, Ibrahim, Noor Akma

    Published 2018
    “…In this paper, we developed the slice sampler algorithm for the generalized Pareto distribution (GPD) model. …”
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  14. 14
    Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah

    Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah by Wan Ngah, Wan Ahmad Jailani

    Published 2013
    “…PointsBug is then compared with TangentBug because it is the best among The Bug Algorithm family using the range sensor for distance, duration, speed and reachability.…”
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  15. 15
    Study Of Behaviour-based Navigation for Indoor Mobile Robot

    Study Of Behaviour-based Navigation for Indoor Mobile Robot by Ue Wei, Tan

    Published 2018
    “…The wall follower behaviour is mainly controlled using the PID controller. The developed behaviours were then tested in a track consisted of 5 types of junctions which are the left turn, right, turn, dead-end, 3-way and 4-way junctions. 10 trials have been done on each junction in order to observe the success rate of the mobile robot reacting to the approached junction. …”
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  16. 16
    Optimization algorithms for energy storage integrated microgrid performance enhancement

    Optimization algorithms for energy storage integrated microgrid performance enhancement by Roslan M.F., Hannan M.A., Ker P.J., Muttaqi K.M., Mahlia T.M.I.

    Published 2023
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  17. 17
    Optimised multi-robot path planning via smooth trajectory generation

    Optimised multi-robot path planning via smooth trajectory generation by Loke, Zhi Yu

    Published 2024
    “…A MPSO algorithm, without path smoothening, is used for comparison. …”
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  18. 18
    Improving utility accrual scheduling algorithm for adaptive real-time system

    Improving utility accrual scheduling algorithm for adaptive real-time system by Ahmad, Idawaty, Othman, Mohamed, Ahmad Zukarnain, Zuriati, Othman, Muhammad Fauzan

    Published 2008
    “…The proposed algorithm improves the GUS algorithm by preempting the tasks that GUS abort due to its lower PUD, lowering abortion ratio which in turn increase accrued utility. …”
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  19. 19
    Control of pallets in automatic storage and retrieval system

    Control of pallets in automatic storage and retrieval system by Kafayat Oluwatoyin, Shobowale, Khan, Md. Raisuddin, Muhida, Riza

    Published 2009
    “…The controller and algorithm developed will be used for executing a puzzle like x and y motion to store and retrieve specific pallets. …”
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  20. 20
    Experimental Analysis on Parameters Affecting the Material Removal Rate in Wire Electrical Discharge Turning using the Taguchi Method

    Experimental Analysis on Parameters Affecting the Material Removal Rate in Wire Electrical Discharge Turning using the Taguchi Method by Saiful Bahri, Mohamed

    Published 2018
    “…By using similar experimental data, the regression equation was developed to represent as fitness function for optimisation by genetic algorithm (GA). …”
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