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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Towards implementing reactive scheduling for job shop problem

    Towards implementing reactive scheduling for job shop problem by Zakaria, Zalmiyah, Deris, Safaai

    Published 2006
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  5. 5
    Distributive and self-sustainable scheduling algorithm for wireless sensor networks

    Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

    Published 2013
    “…In the past, many scheduling algorithms were proposed. However, when these techniques were implemented in dense networks, they often lacked the scalability factor due to node failure and dynamic topology changes. …”
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  6. 6
    Distributive and self-sustainable scheduling algorithm for wireless sensor networks

    Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

    Published 2013
    “…In the past, many scheduling algorithms were proposed. However, when these techniques were implemented in dense networks, they often lacked the scalability factor due to node failure and dynamic topology changes. …”
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  7. 7
    Distributive and self-sustainable scheduling algorithm for wireless sensor networks

    Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

    Published 2013
    “…In the past, many scheduling algorithms were proposed. However, when these techniques were implemented in dense networks, they often lacked the scalability factor due to node failure and dynamic topology changes. …”
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  8. 8
    Hybrid of firefly algorithm and pattern search for solving optimization problems

    Hybrid of firefly algorithm and pattern search for solving optimization problems by Wahid, Fazli, Ghazali, Rozaida

    Published 2018
    “…Firefly algorithm (FA) is a newly introduced meta-heuristic, nature-inspired, stochastic algorithm for solving various types of optimization problems. …”
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  9. 9
    Diagonal-Newton Fast Iterative Shrinkage-Thresholding Algorithm for solving linear inverse problems in image restoration

    Diagonal-Newton Fast Iterative Shrinkage-Thresholding Algorithm for solving linear inverse problems in image restoration by Sim, Hong Seng, Goh, Yong Kheng, Chua, Sing Yee, Leong, Wah June

    Published 2025
    “…The incorporation of second-order information through diagonal matrix avoids the implementation difficulty of storing a dense matrix and hence rendering the algorithm suitable for large-scale problems. …”
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  10. 10
    An efficient control implementation for inverter based harmony serach algorithm

    An efficient control implementation for inverter based harmony serach algorithm by Najeeb, Mushtaq, Hamdan, Daniyal, Ramdan, Razali, Muhamad, Mansor

    Published 2017
    “…This research implements a PI controller based on harmony search (HS) optimization algorithm for voltage source inverter to improve the output performance under step load change conditions. …”
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  11. 11
    A DC motor controller using PID algorithm implementation on PIC

    A DC motor controller using PID algorithm implementation on PIC by Wan Robaah, W Ahmad

    Published 2008
    “…A simulation using MATLAB software is implemented to tune PID algorithm by changing the value of Proportional gain, Kp, Integral gain, Ki and Derivative gain, Kd to get a speed of the motor which is less overshoot and increase settling time. …”
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  12. 12
    Optimisation of energy efficient Assembly Sequence Planning using Moth-Flame Optimisation alghorithm

    Optimisation of energy efficient Assembly Sequence Planning using Moth-Flame Optimisation alghorithm by Muhammad Arif, Abdullah

    Published 2019
    “…On the other hand, the recent ASP research tends to explore the potential of a relatively new algorithm to optimise ASP. Therefore, the aim of this research is to establish a methodology and implement the relatively new algorithm to optimise the Energy Efficient Assembly Sequence Planning (EE-ASP) problem. …”
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  13. 13
    An Efficient Control Implementation for Inverter Based Harmony Search Algorithm

    An Efficient Control Implementation for Inverter Based Harmony Search Algorithm by Najeeb, Mushtaq, Hamdan, Daniyal, Ramdan, Razali, Muhamad, Mansor

    Published 2017
    “…This research implements a PI controller based on harmony search (HS) optimization algorithm for voltage source inverter to improve the output performance under step load change conditions. …”
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  14. 14
    Implementation of Station-To-Station (STS) protocol using Elliptic Curve Digital Signature Al Algorithm / Muhammad Faris Fakhri Rozi, Alya Syuhada Ismail and Emylia Suhaimi

    Implementation of Station-To-Station (STS) protocol using Elliptic Curve Digital Signature Al Algorithm / Muhammad Faris Fakhri Rozi, Alya Syuhada Ismail and Emylia Suhaimi by Rozi, Muhammad Faris Fakhri, Ismail, Alya Syuhada, Suhaimi, Emylia

    Published 2018
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  15. 15
    A new fair marker algorithm for DiffServ networks

    A new fair marker algorithm for DiffServ networks by Elshaikh, M.A., Mohamed, Othman, Subramaniam, Shamala, Md. Desa, Jalil

    Published 2008
    “…The paper design and implement the algorithm with extensive simulations using NS-2 simulator to compare the proposed algorithm with previous algorithms. …”
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  16. 16
    Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation

    Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation by Ariful, Haque, Kamal Z., Zamli

    Published 2016
    “…Experimental results demonstrate the strength and weakness of the algorithms, change of their behavior on different types of predicates, etc.…”
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  17. 17
    Ant colony optimization in dynamic environments

    Ant colony optimization in dynamic environments by Chen, Fei Huang

    Published 2010
    “…In order to achieve this objective, six ant algorithms namely Ant System (AS), Ant Colony System (ACS), Best-Worst Ant System (BWAS), Elitist Ant System (EAS), Max-Min Ant System (MMAS) and Rank-Based Ant System (RBAS) were implemented to solve a dynamic optimization problem in the form of the dynamic Traveling Salesman Problem (TSP). …”
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  18. 18
    Development of dynamic programming algorithm for maintenance scheduling problem

    Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

    Published 2020
    “…The objectives of this research are to develop a dynamic programming algorithm for the maintenance scheduling problem that can deal with the uncertainty and to determine the optimum maintenance schedule that will change according to the uncertainty that happened. …”
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  19. 19
    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah

    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah by Salmah , Fattah

    Published 2022
    “…Next, it establishes the research problems by implementing various existing algorithms using comparative analysis. …”
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  20. 20
    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks

    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks by Salmah Fattah

    Published 2022
    “…Next, it establishes the research problems by implementing various existing algorithms using comparative analysis. …”
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