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  1. 1

    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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    Thesis
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    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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    Book
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    Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan by Shahron Nizan, Muhammad Shahmi

    Published 2023
    “…The project follows a modified waterfall approach, focusing on creating a user-friendly interface and integrating the Random Forest Classification Algorithm for accurate detection. The results show the algorithm's impressive performance with an 86% precision in predicting ASD traits. …”
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    Thesis
  6. 6

    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python by Bhaskar, Hariyaran

    Published 2020
    “…The algorithm is developed so that it is capable to detect various objects by applying a bounding box on the frame image. …”
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    Monograph
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    INTERFACING CMOS CAMERA WITH ARM MICROCONTROLLER FOR SMALL ROBOTIC PLATFORM by HUSSIEN, MOHAMED MEERA

    Published 2013
    “…The robot follows the object according to the algorithm that had been programmed. The heart of the system is Raspberry Pi. …”
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    Final Year Project
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    Hybrid genetic algorithm for improving fault localization by Mahamad Zakaria, Muhammad Luqman, Sharif, Khaironi Yatim, Abd Ghani, Abdul Azim, Koh, Tieng Wei, Zulzalil, Hazura

    Published 2018
    “…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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    Article
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    DESIGN OF IMPROVED GRID FOR TURTLE ROBOT by Adnan, Muhammad Zulhilmi

    Published 2013
    “…Turtle robot is known as a two-wheel mobile robot which can be programmed to do various task such as line following, grid following, wall or obstacle detection and the list goes on. …”
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    Final Year Project
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    An optimized test case generation technique for enhancing state-sensitivity partitioning by Sultan, Ammar Mohammed Dawood

    Published 2017
    “…Experiments were conducted using mutation analysis to compare the fault detection capabilities of enSSP and SSP. The main interest of the experiment is to demonstrate the capability of enSSP. …”
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    Thesis
  14. 14

    HRI for interactive humanoid head Amir-II for visual tracking and servoing of human face. by Iqbal, Aseef, A Shafie, Amir, Khan, Md. Raisuddin, Alias, Mohd Farid, Radhi, Jamil

    Published 2011
    “…The algorithm developed in this research utilizes the capability offered by scientific computing program MATLAB along with its Image Processing Toolbox. …”
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    Article
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    Reactive power imbalance method for islanding detection in micro-grid operation by Shamshiri, Meysam, Sapar, Ahmad Farid, Chin, Kim Gan, Tengga Daram, Revinnath, Ab Ghani, Mohd Ruddin

    Published 2014
    “…Finally, the micro-grid model capability with control algorithm is shown in order to meet the load demand.…”
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    Article
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    Developing and validating a simulation model for counting and classification of vehicles by Ali Emad Jehad, Riza Atiq O.K. Rahmat

    Published 2016
    “…The results show that the algorithm is capable of counting 95% of the vehicles due to some shaking in the video feed. …”
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    Article
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    A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

    Published 2024
    “…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. The experimental result shows that the Random Forest Algorithm has achieved the highest detection accuracy of 99.4% with the lowest false positive rate of 16.1% as compared to other machine learning algorithms. …”
    Proceedings Paper