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  1. 1
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
    Conference paper
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  2. 2
    Comparative study on job scheduling using priority rule and machine learning

    Comparative study on job scheduling using priority rule and machine learning by Murad, Saydul Akbar, Zafril Rizal, M Azmi, Abu Jafar, Md Muzahid, Al-Imran, Md.

    Published 2021
    “…VM is allocated in space-sharing mode all the time. We’ve achieved better for SJF and a decent machine learning algorithm outcome as well.…”
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  3. 3
    Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems

    Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems by Mwinyi, Amir Kombo

    Published 2017
    “…To meet this requirement, a new Multi LMS (MLMS) model using Sharable Content Object Reference Model (SCORM) specifications to share learning materials among different higher learning institutions (HLIs) has been presented. …”
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  4. 4
    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy

    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

    Published 2019
    “…The proposed algorithm is compared with the state-of-the-art feature selection algorithms using three different datasets. …”
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  5. 5
    Social learning and principal-agent problems in profit sharing contract

    Social learning and principal-agent problems in profit sharing contract by Sapuan N.M., Sanusi N.A., Ismail A.G., Wibowo A.

    Published 2023
    “…Second, to empirically investigate the optimal condition of profit sharing ratio (PSR) and social learning for profit sharing (mudarabah) contract in Islamic banking. …”
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  6. 6
    Campus study buddy : collaborative learning and resource sharing app

    Campus study buddy : collaborative learning and resource sharing app by Huang, Yifan

    Published 2024
    “…The application is developed using Flutter and uses a tag recommendation algorithm to push content that users may be interested in, thereby intelligently providing users with an online learning environment that suits them and improving their learning efficiency. …”
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  7. 7
    Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique

    Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique by M. W, Mustafa, Mohd Herwan, Sulaiman, H., Shareef, S. N., Abd. Khalid

    Published 2011
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  8. 8
    An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system

    An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system by Mohd. Herwan, Sulaiman, Siti Rafidah, Abdul Rahim, Mohd Wazir, Mustafa, Hussain, Shareef, Dr., Saifulnizam, Abd. Khalid, Dr., Omar, Aliman

    Published 2011
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  9. 9
    An improved algorithm for iris classification by using support vector machine and binary random machine learning

    An improved algorithm for iris classification by using support vector machine and binary random machine learning by Kamarulzalis, Ahmad Haadzal

    Published 2018
    “…In machine learning, there are three type of learning branch that can used in classification procedures for data mining. …”
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  10. 10
    SnapShare: AI Trained Mobile App to Share Snaps Automatically

    SnapShare: AI Trained Mobile App to Share Snaps Automatically by Waqas, Ahmad, Gilal, Abdul Rehman, Khan, Adil, Omar, Mazni, Chohan, Murk, Gilal, Ruqaya

    Published 2020
    “…SnapShare basically uses Deep learning (DL) and Machine Learning (ML) techniques for Face Recognition from the captured images. …”
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  11. 11
    Estimating Depressive Tendencies Of Twitter User Via Social Media Data

    Estimating Depressive Tendencies Of Twitter User Via Social Media Data by Loh, Hooi Teng

    Published 2023
    “…We will use these three machine learning algorithms to compare the accuracy and performance of the depressed twitter user. …”
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    Undergraduates Project Papers
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  12. 12
    Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm

    Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm by Mohd Wazir, Mustafa, Dr., Saifulnizam, Abd. Khalid, Dr., Mohd Herwan, Sulaiman, Siti Rafidah, Abd Rahim, Omar, Aliman, Hussain, Shareef, Dr.

    Published 2011
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  13. 13
    Blockchain for Healthcare Medical Records Management System with Sharing Control

    Blockchain for Healthcare Medical Records Management System with Sharing Control by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Zabidi, Suriza Ahmad

    Published 2021
    “…In this paper, Machine Learning and Blockchain are used to propose a solution to difficulties linked to healthcare data management systems. …”
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    Proceeding Paper
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  14. 14
    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network

    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

    Published 2022
    “…A step towards long network performance optimization is theterm use of deep reinforcement learning (DRL), which can learn the best policy via interaction with the environment. …”
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  15. 15
    Machine learning cases in clinical and biomedical domains

    Machine learning cases in clinical and biomedical domains by Che Azemin, Mohd Zulfaezal, Ashimi, Tijani Ahmad, Md Mustafa, Md Muziman Syah

    Published 2018
    “…Learning algorithm can generally be categorised into supervised and unsupervised learning. …”
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  16. 16
    An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system

    An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system by M. W., Mustafa, H., Shareef, M. H., Sulaiman, S. N., Abd. Khalid, S. R., Abd. Rahim, Omar, Aliman

    Published 2011
    “…The idea is to use GA as an optimizer to find the optimal values of hyper-parameters of LS-SVM and adopt a supervised learning approach to train the LS-SVM model. …”
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  17. 17
    Prediction of employee promotion using hybrid sampling method with machine learning architecture / Shahidan Shafie, Soek Peng Ooi and Khai Wah Khaw

    Prediction of employee promotion using hybrid sampling method with machine learning architecture / Shahidan Shafie, Soek Peng Ooi and Khai Wah Khaw by Shafie, Shahidan, Soek, Peng Ooi, Khai, Wah Khaw

    Published 2023
    “…The purpose of using eight machine learning algorithms is to find out the most suitable model to predict employee promotion. …”
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  18. 18
    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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  19. 19
    Identifying Cyberspace Users� Tendency in Blog Writing Using Machine Learning Algorithms

    Identifying Cyberspace Users� Tendency in Blog Writing Using Machine Learning Algorithms by AbuSalim, S.W.G., Mostafa, S.A., Mustapha, A., Ibrahim, R., Wahab, M.H.A.

    Published 2023
    “…There is a specific proportion between blog features and bloggersâ�� tendency to social, political, and cultural patterns of different countries and nations that create trends among the bloggers in these countries. In this paper, we use an existing data set from previous research, which has 100 records of data, and manipulate the data by applying three machine learning algorithms for implementing classification and regression tasks. …”
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  20. 20
    Federated deep learning for automated detection of diabetic retinopathy

    Federated deep learning for automated detection of diabetic retinopathy by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani

    Published 2022
    “…Federated learning allows deep learning algorithms to learn from a diverse set of data stored in multiple databases. …”
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