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  1. 1
    Block Motion Estimation Using Directional Adaptive Search Window

    Block Motion Estimation Using Directional Adaptive Search Window by Fadly Chew, Nor Farhana, Badruddin, Nasreen

    Published 2006
    “…The proposed algorithm determines the amount of motion in past frames and classifies the video sequence as having low, medium or high motion. …”
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  2. 2
    Improved GART neural network model for pattern classification and rule extraction with application to power systems

    Improved GART neural network model for pattern classification and rule extraction with application to power systems by Yap K.S., Lim C.P., Au M.T.

    Published 2023
    “…IGART enhances the dynamics of GART in several aspects, which include the use of the Laplacian likelihood function, a new vigilance function, a new match-tracking mechanism, an ordering algorithm for determining the sequence of training data, and a rule extraction capability to elicit if-then rules from the network. …”
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  3. 3
    Integrating Pixel-Based Algorithms for Area Measurement in Brain Tumor Classification

    Integrating Pixel-Based Algorithms for Area Measurement in Brain Tumor Classification by Dwi Swasono, Rachmad

    Published 2025
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  4. 4
    Block motion estimation using directional adaptive search window

    Block motion estimation using directional adaptive search window by Chew , N.F.F., Badruddin ., Nasreen

    Published 2007
    “…The proposed algorithm determines the amount of motion in past frames and classifies the video sequence as having low, medium or high motion. …”
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  5. 5
    Development and application of an enhanced ART-Based neural network

    Development and application of an enhanced ART-Based neural network by Keem, Siah Yap, Chee, Peng Lim, W.M Lee, Eric, Junita, Mohamed Saleh

    Published 2009
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  6. 6
    Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning

    Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning by Goh, Ching Pang

    Published 2023
    “…Utilizing machine learning algorithms, our system learns and detects intricate activities from worker behavior sequences, offering a sophisticated analysis of worker efficiency. …”
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  7. 7
    Android: S-Based Technique in Mobile Malware Detection

    Android: S-Based Technique in Mobile Malware Detection by Rahiwan Nazar, Romli, Mohamad Fadli, Zolkipli, Ali, Al Fahim Mubarak, Muhammed Ramiza, Ramli

    Published 2018
    “…In order to overcome malware, concern in mobile, we propose a new framework for malware detection which is signature based technique using pattern matching. This framework uses signature number and Secure Hash Algorithm (SHA) as signature in the detection process. …”
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  8. 8
    A study on component-based technology for development of complex bioinformatics software

    A study on component-based technology for development of complex bioinformatics software by Ali Shah, Zuraini, Deris, Safaai, Othman, Muhamad Razib, Zakaria, Zalmiyah, Saad, Puteh, Hassan, Rohayanti, Muda, Mohd. Hilmi, Kasim, Shahreen, Roslan, Rosfuzah

    Published 2004
    “…Secondly, segment protein sequences into nine continuous length of protein subsequence. …”
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