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  1. 1

    Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

    Published 2018
    “…The algorithm was written in Python programming language to be implementing on a POX controller. …”
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    Thesis
  2. 2

    Multicolour object detection using multithreading by Saaidon, Nur'Ain, Sediono, Wahju

    Published 2015
    “…The number of threads created in multithreading’s algorithm is depending on the number of colours to be detected. …”
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    Proceeding Paper
  3. 3

    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques by Mohammad Syawaludin Syafiq, Hassan

    Published 2016
    “…In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. …”
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    Thesis
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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
    “…As the result, the performance of the Reactive Power Imbalance method for the islanding detection state is compared with the simulation model without control algorithm. …”
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    Article
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    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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    Thesis
  8. 8

    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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    Thesis
  9. 9

    Fuzzy speed controller for DC motor drives by Muhammad Izzuddin, Jaafar

    Published 2013
    “…Clanguage programming will be used as assemble language for programming and develop the algorithm and interface.…”
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    Undergraduates Project Papers
  10. 10

    Botnet detection using automated script / Norfathin Rosli by Rosli, Norfathin

    Published 2020
    “…This paper is about a Botnet Detection using Automated Script, the programming language is and the operating system is Windows 7. …”
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    Thesis
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    Obstacles Avoidance Mobile Robot by Aminuddin, Mohammad Muzammil

    Published 2007
    “…The obstacle avoidance algorithm is very useful in order to provide a program or a mobile robot with the ability to move independently while avoiding itself to collide with any kind of obstacles such as a surveillance robot. …”
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    Final Year Project
  14. 14

    A regression test case selection and prioritization for object-oriented programs using dependency graph and genetic algorithm by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

    Published 2014
    “…This paper presents an evolutionary regression test case prioritization for object-oriented software based on dependence graph model analysis of the affected program using Genetic Algorithm. The approach is based on optimization of selected test case from test suite T. …”
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    Article
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    Mobile Robot with Navigation Control and Communication by Mohammad Yatim, Amirah Izzati

    Published 2016
    “…Other than that, various algorithm can be applied to it with the need to physically access on-board microcontroller for programming. …”
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    Final Year Project
  18. 18

    Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm by NGU, SU HANG

    Published 2023
    “…The detection algorithm will be develop based on a modified AlexNet model. …”
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    Final Year Project Report / IMRAD
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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