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  1. 1
    Evaluating the effectiveness of time-domain features for motor imagery movements using SVM

    Evaluating the effectiveness of time-domain features for motor imagery movements using SVM by Khorshidtalab, Aida, Salami, Momoh Jimoh Emiyoka, Hamedi , Mahyar

    Published 2012
    “…Classification of motor imagery tasks for BMIs is the crucial part. …”
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  2. 2
    A Naïve-Bayes classifier for damage detection in engineering materials

    A Naïve-Bayes classifier for damage detection in engineering materials by Addin, O., Salit, Mohd Sapuan, Mahdi Ahmad Saad, Elsadig, Othman, Mohamed

    Published 2007
    “…The method is based on mean and maximum values of the amplitudes of waves after dividing them into folds then grouping them by a clustering algorithm (e.g. k-means algorithm). …”
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  3. 3
    Evaluation of time-domain features for motor imagery movements using FCM and SVM

    Evaluation of time-domain features for motor imagery movements using FCM and SVM by Khorshidtalab, Aida, Salami, Momoh Jimoh Eyiomika, Hamedi , Mahyar

    Published 2012
    “…To design a system that translates brain waves and its activities to desired commands, motor imagery tasks classification is the core part. …”
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  4. 4
    Classification and quantification of palm oil adulteration via portable NIR spectroscopy

    Classification and quantification of palm oil adulteration via portable NIR spectroscopy by Basri, Katrul Nadia, Hussain, Mutia Nurulhusna, Bakar, Jamilah, Sharif, Zaiton, Abdul Khir, Mohd Fared, Zoolfakar, Ahmad Sabirin

    Published 2017
    “…Short wave near infrared spectroscopy (NIR) method was used to detect the presence of lard adulteration in palm oil. …”
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  5. 5
    Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun

    Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun by Zamrun, Nur Zakira Ain

    Published 2022
    “…Therefore, this study aimed to compare the best method for foreseeing river sediment deposition between K-Means unsupervised image classification machine learning and water spectral indices (MNDWI) to analyze the areas most influenced by deposited river sediments from the clustered images. …”
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  6. 6
    Classification and quantification of palm oil adulteration via portable NIR spectroscopy

    Classification and quantification of palm oil adulteration via portable NIR spectroscopy by Basri, Katrul Nadia, Hussain, Mutia Nurulhusna, Bakar, Jamilah, Sharif, Zaiton and, Zoolfakar, Ahmad Sabirin, Mohd Fared Abdul Khir

    Published 2024
    “…Short wave near infrared spectroscopy (NIR) method was used to detect the presence of lard adulteration in palm oil. …”
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  7. 7
    LED based NIR spectroscopy for detection of lard adulteration in palm oil via chemometrics / Katrul Nadia Basri

    LED based NIR spectroscopy for detection of lard adulteration in palm oil via chemometrics / Katrul Nadia Basri by Basri, Katrul Nadia

    Published 2017
    “…Based on the result of classification and quantification analysis, the transmission mode has yield better prediction model compared to the transflectance mode. …”
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  8. 8
    Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach

    Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach by W Azlan, Wan Amirah

    Published 2017
    “…In a further investigation, the C4.5 decision tree algorithm was implemented to classify the N1-P2 wave of control and schizophrenia subjects elicited by sTMS and rTMS. …”
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