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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
    Routing problem in rectangular mesh network using Dijkstra’s based Greedy method

    Routing problem in rectangular mesh network using Dijkstra’s based Greedy method by Noraziah, Adzhar, Shaharuddin, Salleh, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2018
    “…In order to achieve this objective, each net need to be routed as shortest as possible. Therefore, developing a shortest path based routing algorithm is in need. …”
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  5. 5
    A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework

    A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework by Loo Y.L., Ahmad A., Mustapha A., Mostafa S.A.

    Published 2023
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  6. 6
    3D imaging techniques in documentation of cultural assets in Malaysia

    3D imaging techniques in documentation of cultural assets in Malaysia by Md. Sharif, Harlina, Hazumi, Hazman, Saedin, Nurfarhanah

    Published 2015
    “…In recent years, however, advent of computer vision (CV) algorithms make it possible to reconstruct 3D geometry of objects by using image sequences from digital cameras, which are then processed by web services and freeware applications. …”
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  7. 7
    3D documenatation of the petalaindera: Digital heritage preservation methods using 3D laser scanner and photogrammetry

    3D documenatation of the petalaindera: Digital heritage preservation methods using 3D laser scanner and photogrammetry by Md Sharif, Harlina, Hazumi, Hazman, Meli, Rafiq Hafizuddin

    Published 2018
    “…In recent years, however, the advent of computer vision (CV) algorithms make it possible to reconstruct 3D geometry of objects by using image sequences from digital cameras, which are then processed by web services and freeware applications. …”
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  8. 8
    3D documentation of the Petalaindera: digital heritage preservation methods using 3D laser scanner and photogrammetry

    3D documentation of the Petalaindera: digital heritage preservation methods using 3D laser scanner and photogrammetry by Md. Sharif, Harlina, Hazumi, Hazman, Meli, Rafiq Hafizuddin

    Published 2017
    “…In recent years, however, the advent of computer vision (CV) algorithms make it possible to reconstruct 3D geometry of objects by using image sequences from digital cameras, which are then processed by web services and freeware applications. …”
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  9. 9
    3D documenatation of the petalaindera: Digital heritage preservation methods using 3D laser scanner and photogrammetry

    3D documenatation of the petalaindera: Digital heritage preservation methods using 3D laser scanner and photogrammetry by Md. Sharif, Harlina, Hazumi, Hazman, Meli, Rafiq Hafizuddin

    Published 2018
    “…In recent years, however, the advent of computer vision (CV) algorithms make it possible to reconstruct 3D geometry of objects by using image sequences from digital cameras, which are then processed by web services and freeware applications. …”
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  10. 10
    A genome wide study of copy number variation associated with nasopharyngeal carcinoma in Malaysian Chinese identifies CNVs at 11q14.3 and 6p21.3 as candidate loci

    A genome wide study of copy number variation associated with nasopharyngeal carcinoma in Malaysian Chinese identifies CNVs at 11q14.3 and 6p21.3 as candidate loci by Low, Joyce Siew Yong, Chin, Yoon Ming, Mushiroda, Taisei, Kubo, Michiaki, Govindasamy, Gopala Krishnan, Pua, Kin Choo, Yap, Yoke Yeow, Yap, Lee Fah, Subramaniam, Selva Kumar, Ong, Cheng Ai, Tan, Tee Yong, Khoo, Alan Soo Beng, The Malaysian NPC Study Group, Ng, Ching Ching

    Published 2016
    “…Conclusion: Our results demonstrated the association of CNVs towards NPC susceptibility, implicating a possible role of CNVs in NPC development.…”
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