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  1. 1
    The need for an enhanced IoT-based malware detection model using artificial intelligence (AI) algorithm: a review

    The need for an enhanced IoT-based malware detection model using artificial intelligence (AI) algorithm: a review by Maidin, Siti Sarah, Yahya, Norzariyah

    Published 2023
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  2. 2
    Empirical study on intelligent android malware detection based on supervised machine learning

    Empirical study on intelligent android malware detection based on supervised machine learning by Abdullah, Talal A.A., Ali, Waleed, Abdulghafor, Rawad Abdulkhaleq Abdulmolla

    Published 2020
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  3. 3
    An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection

    An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection by Shing, Chiang Tan, Mohammed Al-Andoli, Mohammed Nasser, Kok, Swee Lim, Pey, Yun Goh, Chee, Peng Lim

    Published 2023
    “…In addition, DL-based malware detection methods often entail single classifiers. …”
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  4. 4
    Designing a new model for Trojan horse detection using sequential minimal optimization

    Designing a new model for Trojan horse detection using sequential minimal optimization by Madihah Mohd Saudi, Abuzaid A.M., Taib B.M., Abdullah Z.H.

    Published 2024
    Conference Paper
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  5. 5
    A new mobile malware classification for SMS exploitation

    A new mobile malware classification for SMS exploitation by Zaizi N.J.M., Khailani A., Madihah Mohd Saudi

    Published 2024
    Conference Paper
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  6. 6
    Designing a New Model for Trojan Horse Detection Using Sequential Minimal Optimization

    Designing a New Model for Trojan Horse Detection Using Sequential Minimal Optimization by Saudi, MM, Abuzaid, AM, Taib, BM, Abdullah, ZH

    Published 2024
    “…Based on the experiment conducted, the Sequential Minimal Optimization (SMO) algorithm has outperformed other machine learning algorithms with 98.2 % of true positive rate and with 1.7 % of false positive rate.…”
    Proceedings Paper
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  7. 7
    Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim

    Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

    Published 2024
    “…This research presents a mobile malware static detection method based on Naive Bayes. …”
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    Thesis
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  8. 8
    RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review

    RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review by YEJIAO, WANG, KAMALUDIN, HAZALILA, MOHAMMED ALDUAIS, NAYEF ABDULWAHAB, MOHD SAFAR, NOOR ZURAIDIN, ZHONGCHAO, HAO

    Published 2024
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  9. 9
    Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment

    Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment by Perumal, Thinagaran

    Published 2011
    “…The second algorithm, named as Asynchronous Event-Driven algorithm is derived to manage heterogeneous subsystems in smart home environment. …”
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  10. 10
    Classification and detection of intelligent house resident activities using multiagent

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
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  11. 11
    A Cryptojacking Detection System With Product Moment Correlation Coefficient (Pmcc) Heatmap Intelligent

    A Cryptojacking Detection System With Product Moment Correlation Coefficient (Pmcc) Heatmap Intelligent by Kong, Jun Hao

    Published 2023
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    Undergraduates Project Papers
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  12. 12
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  13. 13
    Developing an intelligent user manager system for controlling smart school network resources

    Developing an intelligent user manager system for controlling smart school network resources by Gani, Abdullah, Mouratidis, H., Abouzakhar, N.S., Manson, G.A.

    Published 2002
    “…This paper presents an Intelligent User Manager System (UMAS) for controlling access to network resources in a Smart School network. …”
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  14. 14
    Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm

    Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm by Rahman, Imran, Vasant, Pandian, Mahinder Singh, Balbir Singh, Abdullah-Al-Wadud, M.

    Published 2014
    “…Higher penetration of PHEVs require adequate charging infrastructure as well as smart charging strategies. We used Gravitational Search Algorithm (GSA) to intelligently allocate energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time.…”
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  15. 15
    A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

    A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

    Published 2015
    “…This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. …”
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  16. 16
    Application of Artificial Intelligence In Smart City

    Application of Artificial Intelligence In Smart City by Law, Jia Wei

    Published 2021
    “…Lastly, smart building and smart governance systems have the greatest potential threats to the smart city. …”
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    Final Year Project / Dissertation / Thesis
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  17. 17
    iHOME: an ambient intelligence mobile crowd sensing smart home system

    iHOME: an ambient intelligence mobile crowd sensing smart home system by Lim, Poon Koon, Singh, Manmeet Mahinderjit

    Published 2016
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  18. 18
    Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles

    Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles by Rahman, Imran, Vasant, Pandian, Mahinder Singh, Balbir Singh, Abdullah-Al-Wadud, M.

    Published 2015
    “…Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
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    Citation Index Journal
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  19. 19
    Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles

    Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles by Rahman, I., Vasant, P.M., Mahinder Singh, B.S., Abdullah-Al-Wadud, M.

    Published 2015
    “…Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
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  20. 20
    A novel artificial intelligence based timing synchronization scheme for smart grid applications

    A novel artificial intelligence based timing synchronization scheme for smart grid applications by Hasan, Mohammad Kamrul, Ahmed, Musse Mohamud, Hassan Abdalla Hashim, Aisha, Razzaque, Abdur, Islam, Shayla, Pandey, Bishwajeet

    Published 2020
    “…Therefore, this article proposed the AI-based Synchronization scheme to mitigate smart grid timing issues. …”
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