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  1. 1
    Virtual reality in algorithm programming course: practicality and implications for college students

    Virtual reality in algorithm programming course: practicality and implications for college students by Dewi, Ika Parma, Ambiyar, Mursyida, Lativa, Effendi, Hansi, Giatman, Muhammad, Efrizon, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

    Published 2024
    “…This research aims to design and develop VR in learning programming algorithms. …”
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  2. 2
    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION

    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION by P ISKANDAR, YULITA HANUM

    Published 2006
    “…Apparently, latency is one of the most frequently cited shortcomings of current Virtual Reality (VR) applications. To compensate latency, previous prediction mechanisms insert a complex mathematical algorithm, which may not be appropriate for complex virtual training applications. …”
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  3. 3
    Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau

    Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau by Tan , Chee Hau

    Published 2020
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  4. 4
    Real-time robotic avatar control using fuzzy gaze-classification for people with disability

    Real-time robotic avatar control using fuzzy gaze-classification for people with disability by Qidwai, U., Shakir, M., Bahameish, M.

    Published 2016
    “…The psychological impetus can assist tremendously in their treatment. The Fuzzy Algorithm presented here enables a very fast image classification method for such near-real-time application. …”
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  5. 5
    Robotics in Education

    Robotics in Education by Norashikin, M. Thamrin, Addie, Irawan, Zurita, Zulkifli, Syed Abdul Mutalib, Al Junid, Megat Syahirul Amin, Megat Ali, Anwar P. P., Abdul Majeed

    Published 2026
    “…The AI section discusses machine learning, path-planning algorithms (e.g., A* search, SLAM), and classroom case studies. …”
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  6. 6
    Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network

    Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network by Kantono, Kevin, How, Muhammad Syahmeer, Wang, Qian Janice

    Published 2022
    “…Design of experiments (DOE) is a family of statistical tools commonly used in food science to optimise recipes and facilitate new food development. …”
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  7. 7
    Machine learning-based reflection coefficient and impedance prediction for a meandered slot patch antenna

    Machine learning-based reflection coefficient and impedance prediction for a meandered slot patch antenna by Al Gburi, Ahmed Jamal Abdullah, Gupta, Anupma, Kumar, Vipan, Garg, Dinesh Kumar

    Published 2025
    “…This article presents a real-time tuning approach for the impedance matching circuit of a slotted patch antenna across a broad frequency spectrum. …”
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  8. 8
    Implication of image processing algorithm in remote sensing and GIS applications

    Implication of image processing algorithm in remote sensing and GIS applications by Pathan, Mubeena, Jusoff, Kamaruzaman, Mohd Sood, Alias, Razali, Yaakob, Qureshi, Barkatullah

    Published 2011
    “…Greedy algorithms expresses as a simple solution algorithm that choose a local optimum solution at each step to achieve a global optimum. …”
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  9. 9
    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network

    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network by Hindia, M.N., Reza, A.W., Noordin, K.A.

    Published 2015
    “…This paper presents a novel technique consisting of both TOPSIS and game theory algorithms to study three smart grid applications. …”
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  10. 10
    Schelkunoff array synthesis methods using adaptive-iterative algorithm

    Schelkunoff array synthesis methods using adaptive-iterative algorithm by Abdul Latiff, Nurul Mu'azzah

    Published 2003
    “…Basically, this algorithm is a combination of iterative algorithm with adaptive algorithm. …”
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  11. 11
    A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems

    A Novel Hybrid Bacteria-chemotaxis Spiral-dynamic Algorithm with Application to Modelling of Flexible Systems by Ahmad Nor Kasruddin, Nasir, Tokhi, M. O.

    Published 2014
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  12. 12
    Real time nonlinear filtered-x lms algorithm for active noise control

    Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

    Published 2012
    “…The application involves the reduction of a traffic noise that affects the pressure field in a bedroom. …”
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  13. 13
    Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review

    Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review by Omar, M.B., Bingi, K., Rajanarayan Prusty, B., Ibrahim, R.

    Published 2022
    “…A detailed description of different spiral paths, their characteristics, and the application of these spiral approaches in developing and improving other optimization algorithms are comprehensively presented. …”
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  14. 14
    Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review

    Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review by Omar, M.B., Bingi, K., Rajanarayan Prusty, B., Ibrahim, R.

    Published 2022
    “…A detailed description of different spiral paths, their characteristics, and the application of these spiral approaches in developing and improving other optimization algorithms are comprehensively presented. …”
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  15. 15
    Comprehensive review of the development of the harmony search algorithm and its applications

    Comprehensive review of the development of the harmony search algorithm and its applications by Al-Omoush, A.A., Alsewari, Abdulrahman A., Alamri, Hammoudeh S., Kamal Z., Zamli

    Published 2019
    “…This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm and its applications. …”
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  16. 16
    A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application

    A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application by Zainal Abidin, Zulkifli

    Published 2011
    “…Present paper intends to provide a detailed description of a new bio-inspired Metaheuristic Algorithm. …”
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  17. 17
    IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION

    IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION by SYED KHAIZURA, SYED HUSEIN KAMIL

    Published 2018
    “…Thus, the A* algorithm is implemented in a small mobile robot, this is to see its effectiveness in real world application. …”
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  18. 18
    A survey on applications of black hole algorithm

    A survey on applications of black hole algorithm by Zuwairie, Ibrahim, Suad Khairi, Mohammed, Norazian, Subari, Asrul, Adam, Zulkifli, Md. Yusof, Nor Azlina, Ab Aziz, Nor Hidayati, Abdul Aziz, Tasiransurini, Ab Rahman, Mohd Ibrahim, Shapiai, Norrima, Mokhtar

    Published 2018
    “…This paper reports a review of the black hole algorithm (BHA). This survey emphasizes on the applications of BHA. …”
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  19. 19
    Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping

    Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping by Ma, Xiuqin, Hongwu, Qin

    Published 2014
    “…However, up to the present, few documents have focused on real-life applications of this algorithm. Accordingly, we apply a New Efficient Normal Parameter Reduction algorithm into real-life datasets of online shopping, such as Blackberry Mobile Phone Dataset. …”
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  20. 20
    Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity

    Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity by Ahmad Azwan, Abdul Razak

    Published 2019
    “…On the other hand, multi-objective algorithm is applicable to solve a problem with two or more objectives. …”
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