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    A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market by Mohd. Ridzuan Ab. Khalil, Azuraliza Abu Bakar

    Published 2023
    “…This study aims to develop a univariate and multivariate stock market forecasting model using three deep learning algorithms and compare the performance of those models. …”
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    Article
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    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms by Lei, X., Mohamad, U.H., Sarlan, A., Shutaywi, M., Daradkeh, Y.I., Mohammed, H.O.

    Published 2022
    “…The development of Management Information Systems (MIS) is impossible without the use of machine learning (ML). …”
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    Campus study buddy : collaborative learning and resource sharing app by Huang, Yifan

    Published 2024
    “…The trend of modernization and digitization of education is developing. Today, many educational institutions are using learning management systems to improve their operational efficiency. …”
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    Final Year Project / Dissertation / Thesis
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    Corona fault detection in switchgear with extreme learning machine by Ishak S., Koh S.-P., Tan J.-D., Tiong S.-K., Chen C.-P.

    Published 2023
    “…It can thus be concluded that the developed algorithm performed well in identifying Corona faults in switchgears. � 2020, Institute of Advanced Engineering and Science. …”
    Article
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    Evaluating Machine Learning Algorithms for Fake Currency Detection by Keerthana, S.N, Chitra, K.

    Published 2024
    “…In this study, we evaluate the effectiveness of six supervised machine learning algorithms—K-Nearest Neighbor, Decision Trees, Support Vector Machine, Random Forests, Logistic Regression, and Naive Bayes—in detecting the authenticity of banknotes. …”
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    Fault classification in smart distribution network using support vector machine by Chuan O.W., Ab Aziz N.F., Yasin Z.M., Salim N.A., Wahab N.A.

    Published 2023
    “…In this paper, a machine-learning algorithm known as Support Vector Machine (SVM) for fault type classification in distribution system has been developed. …”
    Article
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    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool by Samuel Simbine, Augusto

    Published 2019
    “…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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    Final Year Project