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  1. 1
    Performance analysis of block matching algorithms in motion estimation

    Performance analysis of block matching algorithms in motion estimation by Abdul Manap, Redzuan, Esro, Mazran, Basari, Amat Amir, Ahmad, Badrul Hisham

    Published 2010
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  2. 2
    SKF-based image template matching for distance measurement by using stereo vision

    SKF-based image template matching for distance measurement by using stereo vision by Nurnajmin Qasrina, Ann, Pebrianti, Dwi, Bayuaji, Luhur, Mohd Razali, Daud, Rosdiyana, Samad, Zuwairie, Ibrahim, Rosyati, Hamid, Mohammad, Syafrullah

    Published 2018
    “…The traditional algorithm to solve image matching problem take a lot of memory and computational time. …”
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    Book Chapter
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  3. 3
    Template matching techniques for iris recognition system

    Template matching techniques for iris recognition system by Tania, Umme T., Motakabber, S. M. A., Ibrahimy, Muhammad Ibn

    Published 2014
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    Proceeding Paper
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  4. 4
    An analysis of the performance of fast block matching motion estimation algorithms

    An analysis of the performance of fast block matching motion estimation algorithms by Abdul Manap, Redzuan, Esro, Mazran, Basari, Amat Amir, Ahmad, Badrul Hisham

    Published 2009
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  5. 5
    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique

    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

    Published 2015
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    Thesis
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  6. 6
    A new text-based w-distance metric to find the perfect match between words

    A new text-based w-distance metric to find the perfect match between words by Ali, M., Jung, L.T., Hosam, O., Wagan, A.A., Shah, R.A., Khayyat, M.

    Published 2020
    “…The core engine of the k-NN algorithm is the distance/similarity function. …”
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  7. 7
    Partial Binary Tree Network (Pbtn): A New Dynamic Element Matching (Dem) Approach To Current Steering Digital Analog Converter (Dac)

    Partial Binary Tree Network (Pbtn): A New Dynamic Element Matching (Dem) Approach To Current Steering Digital Analog Converter (Dac) by Teh , Choon Yan

    Published 2014
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    Thesis
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  8. 8
    Stereo Matching Based On Absolute Differences For Multiple Objects Detection

    Stereo Matching Based On Absolute Differences For Multiple Objects Detection by Hamzah, Rostam Affendi, Gan, Melvin Yeou Wei, Nik Anwar, Nik Syahrim

    Published 2019
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  9. 9
    Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result

    Ubiquitous WLAN/camera positioning using inverse intensity chromaticity space-based feature detection and matching: A preliminary result by Wan Mohd Yaakob, Wan Bejuri, Mohd Murtadha, Mohamad, Maimunah, Sapri, Mohd Adly, Rosly

    Published 2012
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    Working Paper
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  10. 10
    Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB

    Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB by Abdul Manap, Redzuan, Ranjit, S.S.S.

    Published 2010
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  11. 11
    Pre-processing of input features using LPC and warping process

    Pre-processing of input features using LPC and warping process by Sudirman, Rubita, Sh-Hussain, Salleh, Ming, Ting Chee

    Published 2005
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  12. 12
    Performance analysis of hexagon-diamond search algorithm for motion estimation

    Performance analysis of hexagon-diamond search algorithm for motion estimation by Abdul Manap, Redzuan, Ranjit, S.S.S., Basari, Amat Amir, Ahmad, Badrul Hisham

    Published 2010
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  13. 13
    NN speech recognition utilizing aligned DTW local distance scores

    NN speech recognition utilizing aligned DTW local distance scores by Sudirman, Rubita, Salleh, Sh-Hussain, Ting, Chee Ming

    Published 2005
    “…The neural network with backpropagation algorithm is used as the recognition engine at the back-end processing to enhance the recognition performance. …”
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  14. 14
    PERSON IDENTIFICATION BASED ON MULTIMODAL BIOMETRIC RECOGNITION

    PERSON IDENTIFICATION BASED ON MULTIMODAL BIOMETRIC RECOGNITION by ALEX, NG HO LIAN

    Published 2020
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    Final Year Project Report / IMRAD
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  15. 15
    Speech processing for makhraj recognition (design adaptive filter for noise removal)

    Speech processing for makhraj recognition (design adaptive filter for noise removal) by Siti Nurmaisarah, Abdul Aziz

    Published 2010
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    Undergraduates Project Papers
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  16. 16
    Development of Graphical User Interface (GUI) for Antenna Design

    Development of Graphical User Interface (GUI) for Antenna Design by Cheow , Yeng Peng

    Published 2016
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    Final Year Project
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  17. 17
    Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator

    Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator by Alemu Lemma, Tamiru, Mohd Hashim, Fakhruldin

    Published 2011
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  18. 18
    An improved method in speech signal input representation based on DTW technique for NN speech recognition system

    An improved method in speech signal input representation based on DTW technique for NN speech recognition system by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

    Published 2007
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  19. 19
    Enhancement and assessment of WKS variance parameter for intelligent 3D shape recognition and matching based on MPSO

    Enhancement and assessment of WKS variance parameter for intelligent 3D shape recognition and matching based on MPSO by Naffouti, S.E., Aouissaoui, I., Fougerolle, Y., Sakly, A., Meriaudeau, F.

    Published 2017
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  20. 20
    A new history matching sensitivity analysis framework with random forests and Plackett-Burman design

    A new history matching sensitivity analysis framework with random forests and Plackett-Burman design by Aulia, A., Jeong, D., Mohd Saaid, I., Shuker, M.T., El-Khatib, N.A.

    Published 2017
    “…This model is used to rank the importance of each history matching parameter. Hence, parameters with low impact on the history matching error are discarded, and the remaining are used for Genetic Algorithm-based automatic history matching. …”
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