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  1. 1
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  2. 2
    Single Frame Profilometry With Rapid Phase Demodulation On Colour-Coded Fringes

    Single Frame Profilometry With Rapid Phase Demodulation On Colour-Coded Fringes by Yee, Cong Kai

    Published 2019
    “…The experimental results showed that the proposed profilometry was able to reconstruct objects successfully and consistently using only a single-frame fringe image. The phase error compensation algorithm was also proven to reduce phase errors at reference level from (1.08 ± 2.32) % to (0.73 ± 0.46) % with a 95% confidence level for 8 iterations on average, producing a visually smoother reconstructed surface. …”
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  3. 3
    CNN-SVO: improving the mapping in semi-direct visual odometry using single-image depth prediction

    CNN-SVO: improving the mapping in semi-direct visual odometry using single-image depth prediction by Loo, Shing Yan, Amiri, Ali Jahani, Mashohor, Syamsiah, Tang, Sai Hong, Zhang, Hong

    Published 2019
    “…Reliable feature correspondence between frames is a critical step in visual odometry (VO) and visual simultaneous localization and mapping (V-SLAM) algorithms. …”
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  4. 4
    Ultrasonic Tomography System For Liquid/Gas Flow: Frame Rate Comparison Between Visual Basic And Visual C++ Programming

    Ultrasonic Tomography System For Liquid/Gas Flow: Frame Rate Comparison Between Visual Basic And Visual C++ Programming by Abdul Rahim, Ruzairi, Mohd. Nayan, Norkharziana, Fazalul Rahiman, Mohd. Hafiz

    Published 2006
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  5. 5
    Improved abnormal detection using self-adaptive social force model for visual surveillance

    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…With the growth of technology in computer vision, there is a great demand for an automated surveillance system in replaced to the traditional visual surveillance. …”
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  6. 6
    SLAMM: Visual monocular SLAM with continuous mapping using multiple maps

    SLAMM: Visual monocular SLAM with continuous mapping using multiple maps by Daoud, Hayyan Afeef, Sabri, Aznul Qalid Md, Loo, Chu Kiong, Mansoor, Ali Mohammed

    Published 2018
    “…It works with single or multiple robots. In a single robot scenario the algorithm generates a new map at the time of tracking failure, and later it merges maps at the event of loop closure. …”
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  7. 7
    Tracking of moving athlete from video sequences using fower pollination algorithm

    Tracking of moving athlete from video sequences using fower pollination algorithm by Ong, Pauline, Chong, Tang Keat, Ong, Kok Meng, Low, Ee Soong

    Published 2022
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  8. 8
    EMBEDDED PRESENTER TRACKING SYSTEM

    EMBEDDED PRESENTER TRACKING SYSTEM by MUSA, FAIZ SYAUQI

    Published 2018
    “…A webcam is used for the prototype to provide visual input for the system before the Viola-Jones algorithm is used to detect the presence of a human face within the video frame input. …”
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  9. 9
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  10. 10
    Building a feature-space for visual surveillance

    Building a feature-space for visual surveillance by Altahir, A.A., Asirvadam, V.S.

    Published 2014
    “…This paper considers objects low level feature selection and extraction from video frames in order to construct a feature space for visual surveillance applications. …”
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  11. 11
    A fast feature extraction algorithm for image and video processing

    A fast feature extraction algorithm for image and video processing by Abdulhussain, Sadiq H., Ramli, Abdul Rahman, Mahmmod, Basheera M., Saripan, M. Iqbal, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Baker, Thar, Flayyih, Wameedh Nazar, Jassim, Wissam A.

    Published 2019
    “…These features are used to represent the local visual content of images and video frames. We compared the proposed method with the traditional approach of feature extraction using a standard image technique. …”
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  12. 12
    Development of obstable avoidance system for 3D robot navigation

    Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

    Published 2024
    “…Rviz2 was utilized for visualizing coordinate frames. The algorithm was tested in both simulation and on the physical robot. …”
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  13. 13
    An Educational Tool Aimed at Learning Metaheuristics

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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  14. 14
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  15. 15
    Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage

    Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage by Suman, Shipra, Hussin, Fawnizu Azmadi, Nicolas, Walter, Malik, Aamir Saeed, Goh, Khean Lee, Hilmi, Ida, Ho, Shaiw Hooi

    Published 2015
    “…Therefore, it is crucial to develop a computer aided intelligent algorithm to process the huge number of WCE frames. …”
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  16. 16
    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…Specifically, each frame is modeled/represented as a regional adjacency graph (RAG). …”
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  17. 17
    A framework for multiple moving objects detection in aerial videos

    A framework for multiple moving objects detection in aerial videos by Kalantar, Bahareh, Abdul Halin, Alfian, Al-Najjar, Husam Abdulrasool H., Mansor, Shattri, Genderen, John L. Van, M. Shafri, Helmi Zulhaidi, Zand, Mohsen

    Published 2019
    “…Firstly, each frame goes through super-pixel segmentation to produce regions where each frame is then represented as a region adjacency graph structure of visual appearance and geometric properties. …”
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  18. 18
    Visualization on colour based flow vector of thermal image for movement detection during interactive session

    Visualization on colour based flow vector of thermal image for movement detection during interactive session by Ibrahim, Nabilah, Raman, Mohamad Nurazmi, Mahadi, Lina Farhana, Wan Zakaria, Wan Nurshazwani

    Published 2018
    “…The results obtained could be observed in flow vector parameter and the segmentation colour based image for the time frame from 1 to 10 seconds. The visualization of both the parameters clarified the movement and changes of pixel intensity between two frames by the supportive colour segmentation, either in smooth or rough motion. …”
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  19. 19
    Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage

    Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage by Suman, Shipra, Nicolas, Walter, Hussin, Fawnizu Azmadi, Malik, Aamir Saeed, Ho, Shiaw Hooi, Goh, Khean Lee, Hilmi, Ida

    Published 2015
    “…Therefore, it is crucial to develop a computer aided intelligent algorithm to process the huge number of WCE frames. …”
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  20. 20
    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment

    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment by Aqel, Mohammad O. A.

    Published 2016
    “…The most important task for any autonomous mobile vehicle is the reliable estimation of its position over time. Visual odometry (VO) is a localization technique that estimates the position of a robot using only the stream of images acquired from a camera. …”
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