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  1. 1
    Non-invasive pathological voice classifications using linear and non-linear classifiers

    Non-invasive pathological voice classifications using linear and non-linear classifiers by Hariharan, Muthusamy

    Published 2010
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    Thesis
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  2. 2
    User song preferences using preference learning in artificial intelligence

    User song preferences using preference learning in artificial intelligence by Goh, Beng Jun

    Published 2022
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    Final Year Project / Dissertation / Thesis
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  3. 3
    High performance in minimizing of term-document matrix representation for document clustering

    High performance in minimizing of term-document matrix representation for document clustering by B., Baharudin, L., Muflikhah

    Published 2009
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    Conference or Workshop Item
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  4. 4
    A machine learning approach to movie recommendation system

    A machine learning approach to movie recommendation system by Saw, Zi Jin

    Published 2025
    “…Multiple algorithms—including K-Means with KNN, Singular Value Decomposition (SVD), and Matrix Factorization using Keras—were evaluated using Root Mean Square Error (RMSE) to identify the most effective model. …”
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  5. 5
    Image watermarking optimization algorithms in transform domains and feature regions

    Image watermarking optimization algorithms in transform domains and feature regions by Tao, Hai

    Published 2012
    “…As a result,it will first introduce the theories about the feature extraction and the basic principles on how feature points can act as locating resynchronization between watermark insertion and extraction discussed in detail.Subsequently,it will present several content-based watermark embedding and extraction methods which can be directly implemented based on the synchronization scheme.Further detailed watermarking schemes which combine feature regions extraction with counter propagation neural network-based watermarks synapses memorization are then presented.The performance of watermarking schemes based on framework of feature point shows the following advantages:a)Good imperceptibility. …”
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  6. 6
    Machine condition monitoring and fault diagnosis using spectral analysis techniques

    Machine condition monitoring and fault diagnosis using spectral analysis techniques by Salami, Momoh Jimoh Eyiomika, Abdul Muthalif, Asan Gani, Pervez, T.

    Published 2001
    “…Results of analysis clearly indicate that this method of analysis can be further developed and used for self-diagnosis, predictive maintenance and intelligent-based monitoring.…”
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    Proceeding Paper
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  7. 7
    Active stereo vision based system for estimation of Mobile Robot Orientation using composition matrix

    Active stereo vision based system for estimation of Mobile Robot Orientation using composition matrix by Paulraj, Murugesapandian, Fadzilah, Hashim, R. Badlishah, Ahmad, Hema, Chengalvarayan Radhakrishnamurthy, Abdul Hamid, Adom

    Published 2009
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