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    A new framework for multi-partition finite state machine low power design based on genetic algorithm by Masoumidezfouli, Seyedhossein

    Published 2018
    “…This dissertation proposes a new framework to a multi-partitioning approach to implement FSMs, which aims to improve low power design. …”
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    Thesis
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    Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0 by Chong, Agnes Wen Lin

    Published 2023
    “…The purpose is to interpret the implementation of businessanalytic ultimately affects the overall performance of the organization. and creatingafeasible framework. …”
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    Final Year Project / Dissertation / Thesis
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    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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    Thesis
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    Legal Innovation in Religious Courts: The Potential Utilization of Artificial Intelligence (AI) in Resolving Contemporary Cases. by Sukindar, Sukindar, Hendrik Kusnianto, Kusnianto, Sarikun, Sarikun, Benhard Kurniawan, Pasaribu, Muhd Syahazizamir, Sahmat

    Published 2024
    “…Additionally, AI can potentially improve the efficiency of dispute mediation through digital platforms and facilitate automated inheritance calculations in line with Islamic law. However, implementing AI presents challenges, including inadequate regulations, potential algorithmic bias, and compatibility with Islamic legal values. …”
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    Article
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    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…The aim of this study is to propose an innovative multi-sensor fusion framework to improve human activity detection performances and reduce misrecognition rate. …”
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    Article
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    The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin, Hassan, Muhammad Zarif, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

    Published 2025
    “…In HMDB51 dataset, the proposed average detection accuracy of ST-GCN action recognition algorithm based on MediaPipe framework reaches 88.3%. …”
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    Article
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    Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach by Mustakim, Nurul Ain

    Published 2025
    “…This study also introduces a unique dataset on Malaysian online consumer behavior, filling a critical gap and providing valuable insights for businesses. The framework aligns with Malaysia’s Science, Technology, Innovation, and Economic (MySTIE) framework and supports SDG 8 and KEGA 2 (Digital Economy) goals. …”
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    Thesis
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