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  1. 1
    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant

    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Chun T.S., Malek M.A., Ismail A.R.

    Published 2023
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  2. 2
    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant

    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Ting, Sie Chun, Abdul Malik, Marlinda, Ismail, Amelia Ritahani

    Published 2015
    “…In this paper, we adopt the clonal selection algorithm (CSA) to set up a prediction model, with a wellestablished method – namely the least-square support vector machine (LS-SVM) as a baseline model. …”
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  3. 3
    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
    “…The MSVM was constructed utilizing radial bias function as the kernel function using MATLAB2021b. …”
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  4. 4
    Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification

    Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification by Abdul Wahit, Mohamad Aizat

    Published 2019
    “…In this research, the LDA gives as higher as 85.8% of accuracy with six units of the sensors used compared to SVM which is 85% of accuracy percentage with five units of the sensors used. …”
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  5. 5
    Support Vector Machines (SVM) in Test Extraction

    Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

    Published 2006
    “…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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  6. 6
    Support Vector Machines (SVM) in Test Extraction

    Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

    Published 2006
    “…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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  7. 7
    A fuzzy approach for early human action detection / Ekta Vats

    A fuzzy approach for early human action detection / Ekta Vats by Ekta, Vats

    Published 2016
    “…It combines the benefits of computer vision and fuzzy set theory based on fuzzy BK subproduct. The novelty lies in the construction of a frame-by-frame membership function for each kind of possible movement, taking into account several human actions from a publicly available dataset. …”
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  8. 8
    Comparative performance of machine learning algorithms for cryptocurrency forecasting

    Comparative performance of machine learning algorithms for cryptocurrency forecasting by Hitam, Nor Azizah, Ismail, Amelia Ritahani

    Published 2018
    “…Machine Learning is part of Artificial Intelligence that has the ability to make future forecastings based on the previous experience. Methods has been proposed to construct models including machine learning algorithms such as Neural Networks (NN), Support Vector Machines (SVM) and Deep Learning. …”
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  9. 9
    Efficient gear fault feature selection based on moth‑flame optimisation in discrete wavelet packet analysis domain

    Efficient gear fault feature selection based on moth‑flame optimisation in discrete wavelet packet analysis domain by Ong, Pauline, Tieh, Tony Hieng Cai, Lai, Kee Huong, Lee, Woon Kiow, Ismon, Maznan

    Published 2019
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  10. 10
    Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function

    Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function by Choong, Chun Sern, Ahmad Fakhri, Ab. Nasir, P.P. Abdul Majeed, Anwar, Muhammad Aizzat, Zakaria, Mohd Azraai, Mohd Razman

    Published 2022
    “…Instead, the distance verses RSSI algorithm is used to determine the objects to be located based on the distance of the tag to be located to each reader. …”
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  11. 11
    Improving multi-resident activity recognition in smart home using multi label classification with adaptive profiling

    Improving multi-resident activity recognition in smart home using multi label classification with adaptive profiling by Mohamed, Raihani

    Published 2018
    “…The multi label relation method using Two-Stage Label Construction (TSLC) is presented, resolve the conflicts in complex activity of multi-resident is also outlined in this research. …”
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  12. 12
    Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment

    Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment by Latif S.D.

    Published 2023
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  13. 13
    Non-fiducial based electrocardiogram biometrics with kernel methods

    Non-fiducial based electrocardiogram biometrics with kernel methods by Hejazi, Maryamsadat

    Published 2017
    “…The effectiveness of this algorithm is investigated by comparing with other AC based feature extraction algorithms involving AC/LDA (Linear Discriminant Analysis) and AC/PCA (Principal Component Analysis). …”
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  14. 14
    GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators

    GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators by Kun, Liu, Alli, Hassan, Abd Rahman, Khairul Aidil Azlin

    Published 2024
    “…Therefore, in this paper, a belief rule base (BRB) artificial intelligence inference algorithm based on GA optimization to determine the factors affecting customer churn for operators proposed. …”
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  15. 15
    Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin

    Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin by Mat Yasin, Zuhaila

    Published 2014
    “…To enhance the robustness of the algorithm, the QIEP technique is constructed based on multiobjective model in which the multiobjective functions consist of reducing power losses, increasing maximum loadability and cost minimisation. …”
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  16. 16
    Productivity monitoring in building construction projects: a systematic review

    Productivity monitoring in building construction projects: a systematic review by Alaloul, W.S., Alzubi, K.M., Malkawi, A.B., Al Salaheen, M., Musarat, M.A.

    Published 2021
    “…Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. …”
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  17. 17
    Productivity monitoring in building construction projects: a systematic review

    Productivity monitoring in building construction projects: a systematic review by Alaloul, W.S., Alzubi, K.M., Malkawi, A.B., Al Salaheen, M., Musarat, M.A.

    Published 2021
    “…Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. …”
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  18. 18
    Productivity monitoring in building construction projects: a systematic review

    Productivity monitoring in building construction projects: a systematic review by Alaloul, W.S., Alzubi, K.M., Malkawi, A.B., Al Salaheen, M., Musarat, M.A.

    Published 2022
    “…Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. …”
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  19. 19
    Productivity monitoring in building construction projects: a systematic review

    Productivity monitoring in building construction projects: a systematic review by Alaloul, W.S., Alzubi, K.M., Malkawi, A.B., Al Salaheen, M., Musarat, M.A.

    Published 2022
    “…Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. …”
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  20. 20
    Productivity monitoring in building construction projects: a systematic review

    Productivity monitoring in building construction projects: a systematic review by Alaloul, W.S., Alzubi, K.M., Malkawi, A.B., Al Salaheen, M., Musarat, M.A.

    Published 2022
    “…Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. …”
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