Search Results - (( music selection method algorithm ) OR ( based instruction usage algorithm ))

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  1. 1

    Content-based feature selection for music genre classification by Muda, Noor Azilah, Choo, Yun Huoy, Norashikin, Ahmad

    Published 2022
    “…Besides the selection process, two modules of Negative Selection Algorithm; censoring and monitoring are highlighted as well in this work. …”
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    Article
  2. 2

    Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

    Published 2025
    “…This method proves to be effective by systematically exploring and generating a variety of musical ideas through iterative applications of selection, crossover, and mutation genetic operations. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

    Published 2022
    “…These are the popular algorithm for unsupervised learning, a machine learning method to analyse and cluster datasets. …”
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    Undergraduates Project Papers
  4. 4

    A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system by Hormozi, Shahram Golzari, C. Doraisamy, Shyamala, Sulaiman, Md. Nasir, Udzir, Nur Izura

    Published 2008
    “…The new version of AIRS is used in this study. In Proposed algorithm, the resource allocation method of AIRS has been changed with a nonlinear method. …”
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    Conference or Workshop Item
  5. 5

    Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification by Hormozi, Shahram Golzari, C. Doraisamy, Shyamala, Sulaiman, Md. Nasir, Udzir, Nur Izura, Mohd Norowi, Noris

    Published 2008
    “…This new algorithm, AIRS with nonlinear resource allocation method, was used as a classifier in Traditional Malay Music (TMM) genre classification. …”
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    Conference or Workshop Item
  6. 6

    Cache replacement algorithm using hierarchical allocation scheduling by Mohd Sharif, Mohammad Faizal

    Published 2014
    “…HAS is to schedule the instructions based on the priority of instructions from the aspect of space and time. …”
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    Thesis
  7. 7

    Improving the efficiency of clustering algorithm for duplicates detection by Emran, Nurul Akmar, Abdul Rahim, Abdulrazzak Ali Mohamed, Kamal Baharin, Safiza Suhana, Othman, Zahriah, Salem, Awsan Thabet, Abd Aziz, Maslita, Md. Bohari, Nor Mas Aina, Abdullah, Noraswaliza

    Published 2023
    “…In addition, the proposed method also deal s with the window size problem. In the proposed method, high-rank attributes are selected and then preparators are applied to the selected traits. …”
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    Article
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    Cloud computing load balancing technique with virtual machine migration / Rabiatul Addawiyah Mat Razali by Mat Razali, Rabiatul Addawiyah

    Published 2017
    “…Besides that, the performance of this technique is analyzed by using a Cloudsim simulator. Based on the analysis, positive results of the proposed algorithm are demonstrated, which shows the load balancing process is shown to have improved based on the distribution of virtual machines onto matching-type of resources, while a more efficient migration of virtual machines can be seen based on the defined CPU usage thresholds. …”
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    Thesis
  10. 10
  11. 11

    Sound quality classification of wood used for Sarawak traditional musical instrument- Sape / Wong Tee Hao by Wong , Tee Hao

    Published 2024
    “…Utilizing the Shapley Additive Explanations interpretation method, the analysis emphasized the importance of selected features in predicting wood acoustic quality, highlighting "Spectral Roll-off 85%" as the most crucial predictor of sound quality. …”
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    Thesis
  12. 12

    Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device by Shanmuga, Pillai A/L Murutha Muthu

    Published 2021
    “…In order to make BCI useful, one of the approaches is to classify the EEG time series signal that may indicate given eye movements that will be used as input instructions to a device. This research will investigate the application of the Symbolic Aggregate Approximation (SAX) algorithm on top of known supervised machine learning techniques to perform EEG signal classification. …”
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    Thesis
  13. 13

    Efficient and secured compression and steganography technique in wireless sensor network by Tuama, Ammar Yaseen

    Published 2016
    “…We analyse the solution and compare with a range of well-known algorithms in terms of compression ratio, memory usage, the number of instructions, compression speed and energy consumption. …”
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    Thesis
  14. 14

    A hybrid speech enhancement technique based on discrete wavelet transform and spectral subtraction by Iqbal, Yasir, Zhang, Tao, Gunawan, Teddy Surya, Pratondo, Agus, Zhao, Xin, Geng, Yanzhang, Kartiwi, Mira, Saleem, Nasir, Bourouis, Sami

    Published 2025
    “…This study introduces a novel hybrid speech enhancement framework that synergistically integrates Spectral Subtraction (SS) and Discrete Wavelet Transform (DWT) to address limitations of traditional noise reduction techniques. Traditional SS methods generate musical noise artifacts due to static noise estimation, while standard DWT approaches struggle with selective thresholding and static coefficient processing. …”
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    Article
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    Preprocessing method for assistive listening system by Muhammad Nur Adri, Nawi

    Published 2021
    “…So, the system algorithm is one of the most important parts of the ALS. …”
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    Undergraduates Project Papers
  17. 17

    Preprocessing method for assistive listening system by Muhammad Nur Adri, Nawi

    Published 2021
    “…So, the system algorithm is one of the most important parts of the ALS. …”
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    Undergraduates Project Papers
  18. 18

    Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network by Kantono, Kevin, How, Muhammad Syahmeer, Wang, Qian Janice

    Published 2022
    “…In this study, an artificial neural network (ANN) with particle swarm optimisation algorithm (PSO; hereafter ANN-PSO) was selected and compared with classical Response Surface Method (RSM) as ANN-PSO has been reported to yield better reliability and predictability compared to RSM. …”
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    Article
  19. 19

    Bridging Mayer’s cognitive theory of multimedia learning and computational thinking in tackling the cognitive load issues among young digital natives : a conceptual framework by Wan Nor Ashiqin Wan Ali, Wan Ahmad Jaafar Wan Yahaya

    Published 2022
    “…They are part of a tech-savvy generation that led to technological progress that is always connected and linked based on their wishes and needs without any hesitation of time and place. …”
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    Article
  20. 20

    Hybridflood algorithms minimizing redundant messages and maximizing efficiency of search in unstructured P2P networks by Barjini, Hassan

    Published 2012
    “…In the other word the algorithm improved unstructured P2P search's scalability, efficiency and reliability. …”
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    Thesis