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    Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin by Samsudin, Fahmi

    Published 2023
    “…For instance, in healthcare, AI algorithms can analyze medical images for early disease detection. …”
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    Article
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    Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function by Tan, Min Keng

    Published 2019
    “…The idea is proposed in effort of accessing the functionality of the proposed algorithm to improve the smoothness of traffic flow in a network. …”
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    Thesis
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    AI recommendation penetration testing tool for SQL injection: linear regression by Ahmad Fuad, Norshahira Elliyana, Saad, Shahadan

    Published 2025
    “…This project addresses to the urgent need for enhanced security assessments by incorporate artificial intelligence (AI) into penetration testing. This approach is essential because of the evolving landscape of cyber threats and the continuous advancement of technology. …”
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    Quantum-Resistant Cryptography in Cyber Security by Bhargavgowda, A.B., Chitra, K.

    Published 2025
    “…Quantum algorithms including Shor’s and Grover’s are expected to compromise these systems, placing sensitive data, financial infrastructures, and national security at risk. …”
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    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat by Naji Maqhat, Bakeel Hussein

    Published 2016
    “…The second contribution is an efficient bandwidth allocation algorithm for A-MSDU aggregation called Adaptive Scheduling based Embedded Fuzzy (ASEF) system. …”
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    Thesis
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    Bat algorithm and neural network for monthly streamflow prediction by Zaini N., Malek M.A., Yusoff M., Osmi S.F.C., Mardi N.H., Norhisham S.

    Published 2023
    “…The applications of artificial intelligence (AI) have been proved to have better performance as compared to conventional statistical method in streamflow prediction. …”
    Conference Paper
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    Empirical modeling of hydrate formation prediction in deepwater pipelines by Hashim, F.M., Abbasi, A.

    Published 2016
    “…The petroleum industry spends millions of dollars yearly to minimize the effects of hydrate formation on flow assurance. In this scenario, on the basis of experimental data from Sloan and Avlonits work, an artificial intelligence (AI) for methane gas hydrate of deepwater gas pipelines has been developed. …”
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    Article