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  1. 1
    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python

    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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  2. 2
    Real-Time Video Processing Using Native Programming on Android Platform

    Real-Time Video Processing Using Native Programming on Android Platform by Saipullah, Khairul Muzzammil

    Published 2012
    “…The result shows that with native programming on Android platform, even a complicated object detection algorithm can be done in real-time.…”
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    Conference or Workshop Item
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  3. 3
    Moving detection using cellular neural network (CNN)

    Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

    Published 2008
    “…Previous motion-based moving object detection approaches often use background subtraction and inter-frame difference or three-frame difference, which are complicated and takes long time. …”
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    Undergraduates Project Papers
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  4. 4
    Image classification using two dimensional wavelet coefficients with parallel computing

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…This method is capable to shorten the process time of the computation-intensive program in this research to process the live images frame by frame, which received from a laptop webcam to achieve real-time video processing. …”
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    Final Year Project / Dissertation / Thesis
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  5. 5
    Video colorization using canny optimization technique / Irwin Kevin Mueson

    Video colorization using canny optimization technique / Irwin Kevin Mueson by Irwin Kevin Mueson

    Published 2016
    “…This is a hybrid technique from Colorization using Optimization, which was modified and improved the algorithms by adding Canny Edge Detection to improve the colorization process on the grayscale image or frames. …”
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    Thesis
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  6. 6
    Vision-Based Autonomous Vehicle Driving Control System

    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
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  7. 7
    Vision-based autonomous vehicle driving control system

    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
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  8. 8
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…The project was planned using the Kanban development methodology, and was built using HTML, CSS, JavaScript, Django, NumPy and pandas. …”
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    Final Year Project / Dissertation / Thesis
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  9. 9
    SURF algorithm-based panoramic image mosaic application

    SURF algorithm-based panoramic image mosaic application by Watada, J., Zhang, H., Melo, H., Wang, J., Vasant, P.

    Published 2018
    “…To build the image mosaic, SURF (Speeded Up Robust Feature) algorithm is used in feature detection and OpenCV is used in the programming. …”
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    Article
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  10. 10
    SURF algorithm-based panoramic image mosaic application

    SURF algorithm-based panoramic image mosaic application by Watada, J., Zhang, H., Melo, H., Wang, J., Vasant, P.

    Published 2018
    “…To build the image mosaic, SURF (Speeded Up Robust Feature) algorithm is used in feature detection and OpenCV is used in the programming. …”
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    Article
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  11. 11
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The development of this project is based on a framework of 5 main stages: planning, analysis, design, implementation and testing. …”
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    Thesis
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  12. 12
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This methodology consist of Requirement and Planning, Design, Construction, Testing and Implementation. …”
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    Thesis
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  13. 13
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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    Thesis
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  14. 14
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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    Article
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  15. 15
    Development of elasto-plastic viscous damper finite element model for reinforced concrete frames

    Development of elasto-plastic viscous damper finite element model for reinforced concrete frames by Hejazi, Farzad, Zabihi, Alireza, Jaafar, Mohd Saleh

    Published 2014
    “…The evaluation of seismic response of structure and damage detection in structural members and damper device was carried out by 3D modeling, of 3 story reinforced concrete frame building under earthquake multi-support excitation.…”
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    Article
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  16. 16
    Car detection using cascade classifier on embedded platform

    Car detection using cascade classifier on embedded platform by Zulkhairi, Muhammad Asyraf, Mohd Mustafah, Yasir, Zainal Abidin, Zulkifli, Mohd Zaki, Hasan Firdaus, Abdul Rahman, Hasbullah

    Published 2020
    “…For car detection process, object detection by cascade classifier method is used. …”
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    Proceeding Paper
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  17. 17
    Implementation of RIO in UMJaNetSim / Chan Chin We

    Implementation of RIO in UMJaNetSim / Chan Chin We by Chan, Chin We

    Published 2004
    “…In this project, I will do some research on the recent TCP congestion control and avoidance mechanisms and implement one of the mechanisms into the Java Network Simulator (JaNetSim). …”
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    Thesis
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  18. 18
    Songs Search Using Human Humming Voice

    Songs Search Using Human Humming Voice by Abdul Rahman, Mohamad Ariff

    Published 2007
    “…The scopes for this project are human humming voice, voice capture in WA V format, songs database, and MIDI file comparing algorithm. Methodologies used in this system are based on system analysis and design methodology comprising planning, analysis, design and implementation. …”
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    Final Year Project
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  19. 19
    Analytical model for partially prestressed concrete beam-column elements

    Analytical model for partially prestressed concrete beam-column elements by Esfahani, Milad Hafezolghorani

    Published 2017
    “…Therefore, in order to detect the damages and determine the location of plastic hinges during dynamic loading in element, formulation for plasticity and yielding surface mechanism of PPC frame element is derived. …”
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    Thesis
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  20. 20
    Cyclic redundancy encoder for error detection in communication channels

    Cyclic redundancy encoder for error detection in communication channels by Khalifa, Othman Omran, Islam, Md. Rafiqul, Khan, Sheroz

    Published 2004
    “…This paper describes the methodology used and the implementation of the Cyclic Redundancy Check (CRC) algorithm using Ci+ programming. The technique gained its popularity because it combines three advantages: Extreme error detection capabilities, little overhead and ease of implementation. …”
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    Proceeding Paper
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