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  1. 1

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

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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    Article
  2. 2

    The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment by Kok, Kai Yit

    Published 2016
    “…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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    Thesis
  3. 3

    Modelling of multi-robot system for search and rescue by Poy, Yi Ler

    Published 2023
    “…In conclusion, this project shows that the MPSO algorithm is capable of generating a better path compared to the normal PSO algorithm in terms of average path length and execution time, making it a promising algorithm for multi-robot path planning in dynamic environments.…”
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    Final Year Project / Dissertation / Thesis
  4. 4

    Indoor global path planning based on critical cells using dijkstra algorithm by Azrul Amri, Jamal, Engku Fadzli Hasan, Syed Abdullah, Fatma Susilawati, Mohamad

    Published 2015
    “…This paper proposes global path planning based on grids representation in an indoor environment using Dijkstra algorithm. …”
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    Article
  5. 5

    Optimization of multi-holes drilling path using particle swarm optimization by Najwa Wahida, Zainal Abidin

    Published 2022
    “…One way to improve the multi-hole drilling is by optimising the tool path in the process. This research aims to model and optimise multi-hole drilling problems using Particle Swarm Optimisation (PSO) algorithm. …”
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    Thesis
  6. 6

    Implementation of Graph Based Path Planning Algorithms on a Mobile Robot in a Confined Site by TANG, HON PANN

    Published 2017
    “…This project investigates the performance of three different graph based path planning algorithms used, relaxed A*, A* and Dijkstra’s algorithm in a few environments with different obstacles settings using Gazebo environment simulator and Turtlebot simulator (computer simulation) and 4WD navigation robot (real environment simulation).…”
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    Final Year Project
  7. 7

    Evaluation of robot path planning algorithms in global static environments: genetic algorithm vs ant colony optimization algorithm / Nohaidda Sariff and Norlida Buniyamin by Sariff, Nohaidda, Buniyamin, Norlida

    Published 2010
    “…Comparison of the performances and parameter settings, advantages and limitations of both algorithms presented herewith can be used to further expand the optimization algorithm in RPP research area.…”
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    Article
  8. 8
  9. 9

    Performance analysis of genetic algorithm (GA)-based multi-constrained path routing algorithm by Yussof S.

    Published 2023
    “…The performance of the algorithm is then compared with an exact algorithm called the depth first search and a common shortest path algorithm called the Dijkstra's algorithm. …”
    Article
  10. 10

    A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

    Published 2022
    “…A statistical test was used to demonstrate the efficiency of the proposed algorithm over the compared methods. …”
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    Thesis
  11. 11

    Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization by Nor Azmi, Siti Nur Lyana Karmila, Anwar Apandi, Nur Ilyana, Rafique, Majid, Muhammad, Nor Aishah

    Published 2025
    “…However, traditional Ant Colony Optimization (ACO) algorithms, widely used for AMR path planning, exhibit limitations such as low convergence rates and redundant recalculations, particularly in environments with frequently changing obstacles. …”
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    Article
  12. 12

    FINDING SHORTEST PATH FOR DYNAMIC PUTTING PROBLEM USING ANT COLONY OPTIMISATION by Nor Akmal, Abdul Aziz

    Published 2005
    “…Besides, this thesis also aimed to compare both algorithms used in the system, based on their speed to generate the shortest path. …”
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    Final Year Project Report / IMRAD
  13. 13

    High-Speed shortest path co-processor design by Idris, Mohd Yamani Idna, Abu Bakar, Suraya, Tamil, Emran Mohd, Razak, Zaidi, Noor, Noorzaily Mohamed

    Published 2009
    “…Shortest path algorithms are significant in graph theory and have been applied in many applications such as transportation and networking. …”
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    Conference or Workshop Item
  14. 14

    FROM IMAGE TO GRAPH-BASED DATA FOR PATH PLANNING by MOHAMAD YATIM, NOOR AMANINA HANISAH

    Published 2019
    “…Path planning is one of methods that have been used in finding ways from one point to another. …”
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    Final Year Project
  15. 15

    The performance effect due to varying network topologies on a software-defined network employing the k-shortest path by Linsheng, R., Derahman, M. N., Kadir, M. F. A., Mohamed, M. A., Kamarudin, S.

    Published 2022
    “…K-shortest paths algorithm discovers a set of paths ordered in the most optimal, optimal, and suboptimal, has a very wide application is integrated into SDN controller to handle routing functionality. …”
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    Article
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    Laser simulator: a novel search graph-based path planning approach by Ali, Mohammed A. H., Musa, Mailah

    Published 2018
    “…It is also used to recognize the real roundabout from a sequence of images during local path planning in the real-world system. …”
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    Article
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    Synthesis of transistor-chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan by Misnan, Azizi

    Published 1997
    “…The result will be compared with euler's path algorithm using heuristic search and a pseudo input to find the minimum interlace.…”
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    Thesis
  20. 20

    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

    Published 2021
    “…Firstly, the study concludes that the adoptions of the flexible approach in estimation can model the binary feature of CVDs and non-linear paths in the complex path models. The estimated CVDs path model can be implemented as a disease delay strategy in clinical settings. …”
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    Thesis