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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli

    Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli by Ramli, Muhammad Harith

    Published 2017
    “…Thus, this study of non-invasive gliomas grading using Swarm Intelligence algorithmis proposed to grade the gliomas into its grade. …”
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  5. 5
    Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii

    Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii by Shafii, Muhammed Khaleeq

    Published 2012
    “…This project also can be improved by make a comparative study on Artificial Immune System and other techniques or algorithms that can be used to solve predict actual UPSR grade. …”
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  6. 6
    Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm

    Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm by Illias H.A., Zern Hong C., Aramugam K., Mokhlis H., Ariffin A.M., Fairouz Mohd Yousof M.

    Published 2023
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  7. 7
    Identification and Grading of Manage Using Image Processing

    Identification and Grading of Manage Using Image Processing by Shukor, Syazwan

    Published 2021
    “…The criteria of mangos to be assessed by the grading algorithm are color and weight. Classification of these mangos are conducted based on standards set by Federal Agriculture Marketing Authority (FAMA) mango ripeness index, Project activities have started using a proposed activity flow for algorithm development using Python and the experimental chamber setup for actual mange data collection. …”
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  8. 8
    Statistical approach on grading: mixture modeling

    Statistical approach on grading: mixture modeling by Md. Desa, Zairul Nor Deana

    Published 2006
    “…The Gibbs sampler algorithm is applied using the WinBUGS programming package. …”
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  9. 9
    Automated essay grading system / Cheong Tau Pau

    Automated essay grading system / Cheong Tau Pau by Cheong, Tau Pau

    Published 2005
    “…Automated essay grading system is a web based system that used by the teachers and students. …”
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  10. 10
    The capabilities of Multiclass Support Vector Machine (MSVM) training algorithms in grading agarwood essential oil

    The capabilities of Multiclass Support Vector Machine (MSVM) training algorithms in grading agarwood essential oil by Anis Hazirah ‘Izzati H., Al-Hadi, Siti Mariatul Hazwa, Mohd Huzir, Nurlaila, Ismail, Zakiah, Mohd Yusoff, Saiful Nizam, Tajuddin, Mohd Nasir, Taib

    Published 2024
    “…Traditionally, the grading expert classifies agarwood essential oil by using the aspect of odor, texture, resin color and intensity. …”
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  11. 11
    Predicting building damage grade by earthquake: a Bayesian Optimization-based comparative study of machine learning algorithms

    Predicting building damage grade by earthquake: a Bayesian Optimization-based comparative study of machine learning algorithms by Al-Rawashdeh, Mohammad, Al Nawaiseh, Moh’d, Yousef, Isam, Bisharah, Majdi, Alkhadrawi, Sajeda, Al-Bdour, Hamza

    Published 2024
    “…The optimized models classified building damage grades with an AUROC of 0.9952. Comparing machine learning algorithms yields insights. …”
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  12. 12
    A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.]

    A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] by Mohd Amidon, Aqib Fawwaz, Mohd Huzir, Siti Mariatul Hazwa, Mohd Yusoff, Zakiah, Ismail, Nurlaila, Taib, Mohd Nasir

    Published 2022
    “…Therefore, our algorithm has correctly assessed five distinct agarwood oil grades, according to the performance measure. …”
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  13. 13
    Improving oil palm fresh fruit bunch grading system via software and hardware modifications

    Improving oil palm fresh fruit bunch grading system via software and hardware modifications by Shabdin, Muhammad Kashfi

    Published 2016
    “…The ANN model is then used in the testing process where the software decides the grade of the oil palm fruit bunch. …”
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  14. 14
    Performance comparison of colour correction and colour grading algorithm for medical imaging applications

    Performance comparison of colour correction and colour grading algorithm for medical imaging applications by Nur Diyana Kamarudin, Muhammad Azrae Yusof, Mohd Shahrizal Rusli, Ooi, Chia Yee, Syarifah Bahiyah Rahayu Syed Mansoor, Afiqah Mohd Azahari, Zuraini Zainol, Kamaruddin Abd Ghani, Siti Noormiza Makhtar

    Published 2021
    “…There are various statistical methods in colour correction and colour grading algorithm being implemented nowadays and finding the best algorithm with high accuracy is non-trivial. …”
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  15. 15
    Agarwood oil grade clustering of aquilaria malaccensis species using Extraction by GC-MS analysis: Efficient KNN algorithm based on patterns visualization of two-dimensional graph

    Agarwood oil grade clustering of aquilaria malaccensis species using Extraction by GC-MS analysis: Efficient KNN algorithm based on patterns visualization of two-dimensional graph by Siti Mariatul Hazwa, Mohd Huzir, Anis Hazirah ‘Izzati H., Al-Hadi, Amir Hussairi, Zaidi, Nurlaila F., Ismail, Zakiah, Mohd Yusoff, Saiful Nizam, Tajuddin, Mohd Nasir, Taib

    Published 2024
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  16. 16
    Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using k-Nearest Neighbour (k-NN)

    Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using k-Nearest Neighbour (k-NN) by Mohamad Hushnie, Haron, Nur Azzimah, Zamri, Khairunisa, Muthusamy

    Published 2023
    “…Next, the grades of concrete were classified using a machine learning algorithm named k-Nearest Neighbour (k-NN). …”
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  17. 17
    Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using kNearest Neighbour (k-NN)

    Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using kNearest Neighbour (k-NN) by Mohamad Hushnie, Haron, Nur Azzimah, Zamri, Khairunisa, Muthusamy

    Published 2023
    “…Next, the grades of concrete were classified using a machine learning algorithm named k-Nearest Neighbour (k-NN). …”
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  18. 18
    SVM modelling of agarwood oil quality grading using radial basis function (RBF) and sequential minimal optimization (SMO) learning algorithms

    SVM modelling of agarwood oil quality grading using radial basis function (RBF) and sequential minimal optimization (SMO) learning algorithms by Muhammad Haziq Haikal, Hisham, Nurlaila, Ismail, Nor Azah, Mohd Ali, Saiful Nizam, Tajuddin, Mohd Nasir, Taib

    Published 2020
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  19. 19
    Statistical approach on grading the student achievement via mixture modelling

    Statistical approach on grading the student achievement via mixture modelling by Md. Desa, Zairul Nor Deana, Mohamad, lsmail

    Published 2006
    “…The problem posterior density of the parameters which is analytically intractable. A solution using the Markov Chain Monte Carlo approach namely Gibbs sampler algorithm. …”
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  20. 20
    An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder

    An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder by Chen, Ruo Han, Ng, Boon Sim, Paramasivam, Shamala, Ren, Li

    Published 2024
    “…The experimental results show that the overall accuracy of BSETG algorithm is maintained between 70% and 90%, the response speed of BSETG algorithm is relatively fast, and the success rate of BSETG algorithm is relatively stable to a large extent.…”
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