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  1. 1
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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  2. 2
    An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion

    An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion by Haque, Ariful

    Published 2018
    “…We have chosen four neighborhood based algorithms which are commonly used in optimization problems and divided them in newly implemented and re-implemented category. …”
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  3. 3
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…The project was planned using the Kanban development methodology, and was built using HTML, CSS, JavaScript, Django, NumPy and pandas. …”
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    Final Year Project / Dissertation / Thesis
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  4. 4
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The development of this project is based on a framework of 5 main stages: planning, analysis, design, implementation and testing. …”
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  5. 5
    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom

    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

    Published 2015
    “…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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  6. 6
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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  7. 7
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  8. 8
    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem

    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem by Hasan, Mohammad Khatim

    Published 2008
    “…This thesis describes the implementations of new parallel and sequential algorithms for electromagnetic wave propagation from a monopole antenna. …”
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  9. 9
    Implementation of case-based reasoning in help desk system

    Implementation of case-based reasoning in help desk system by Tee, Shih Min

    Published 2019
    “…Technicians apply CBR technique to solve a given problem by retrieving the precedent similar cases that are stored into the case library. …”
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  10. 10
    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom

    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

    Published 2015
    “…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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    Book Section
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  11. 11
    Implementation of RIO in UMJaNetSim / Chan Chin We

    Implementation of RIO in UMJaNetSim / Chan Chin We by Chan, Chin We

    Published 2004
    “…In this project, I will do some research on the recent TCP congestion control and avoidance mechanisms and implement one of the mechanisms into the Java Network Simulator (JaNetSim). …”
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  12. 12
    A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA)

    A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA) by Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

    Published 2024
    “…This paper presents an optimization scheme for a case study on minimizing makespan and energy consumption in a hybrid flow shop scheduling problem. …”
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  13. 13
    Songs Search Using Human Humming Voice

    Songs Search Using Human Humming Voice by Abdul Rahman, Mohamad Ariff

    Published 2007
    “…The scopes for this project are human humming voice, voice capture in WA V format, songs database, and MIDI file comparing algorithm. Methodologies used in this system are based on system analysis and design methodology comprising planning, analysis, design and implementation. …”
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    Final Year Project
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  14. 14
    Quantum Processing Framework And Hybrid Algorithms For Routing Problems

    Quantum Processing Framework And Hybrid Algorithms For Routing Problems by Soltan Aghaei, Mohammad Reza

    Published 2010
    “…The designed hybrid architecture and framework were tested using the above quantum algorithms and the existing quantum algorithms. Implementing and simulating results are then represented based on the probabilistic hybrid algorithm in the case of linear array, binary heap and quantum search for dense and sparse graphs.…”
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  15. 15
    Thalassaemia detection using CBR Algorithm via mobile device

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
    “…The results show that the Case-Based Reasoning model has a great potential to be implemented in diagnosing Thalassaemia cases.…”
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  16. 16
    Implementation and Evaluation of Large Rsa Encryption and Decryption Keys For Internet Security

    Implementation and Evaluation of Large Rsa Encryption and Decryption Keys For Internet Security by H. Belgassem, Seddeq

    Published 2004
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  17. 17
    PID control system implementation in embedded system for DC motor speed control

    PID control system implementation in embedded system for DC motor speed control by Ariff, Che Mohd Noor

    Published 2008
    “…PID algorithm that has been implemented in MCU inside the DC motor controller module system can eliminate the steady state error and overshoot problem including settling time. …”
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  18. 18
    Faculty timetabling using genetic algorithm

    Faculty timetabling using genetic algorithm by Liong, Boon Yaun

    Published 2011
    “…Faculty Timetabling using Genetic Algorithm (FTGA) is an application that generate optimum timetable for faculty.The target user of this application is faculty staff who responsible in generate timetable.The problem statement of the project is many clashing exist in the timetable.Faculty staff needs to solve the clashing manually.This will waste time and it is a problem for staff to solve the clashing.By implement GA,clashing will be reduced.The objective of the project is to develop aprototype in scheduling application for generates an optimum timetable for a faculty.Genetic algorithm will be implemented.The scope of FTGA is Faculty of Computer Systems & Software Engineering (FCSSE).The methodology use in this project is prototype model.The testing result show 95 out of 100 test cases achieved the maximum fitness value which means there is no clashing in the timetable.The maximum generation is set to 15 generation.Population for each generation is 3 populations.Percentage of FTGA solve the problem is 95%.…”
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  19. 19
    Magnetic Optimization Algorithm Approach For Travelling Salesman Problem

    Magnetic Optimization Algorithm Approach For Travelling Salesman Problem by Ismail, Mohd Muzafar, Zakaria, Muhammad Iqbal, Zainal Abidin, Amar Faiz, Mad Juliani, Juwita, Lit, Asrani, Mirjalili, Seyedali, Nordin, Nur Anis, Mohamed Saaid, Muhammad Faiz

    Published 2012
    “…In this implementation, each magnetic agent or particle in Magnetic Optimization Algorithm represents a candidate solution of the Travelling Salesman Problem. …”
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  20. 20
    Hybrid evolutionary optimization algorithms: A case study in manufacturing industry

    Hybrid evolutionary optimization algorithms: A case study in manufacturing industry by Vasant, P.

    Published 2014
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