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  1. 1
    Intelligent DNA signature detection for internet worms

    Intelligent DNA signature detection for internet worms by Ghazali, Osman

    Published 2011
    “…Active worms spread in an automated fashion flooding the Internet in a very short time.Slammer worm infected more than 90% of vulnerable machines within 10 minutes on January 25th, 2003.Hence it is necessary to monitor and detect the worms as soon as they are introduced to minimize the damage caused by them.This project concentrates on developing an anti-scanning worm detection system that can automatically detect and control the spread of internet scanning worms without any manual intervention.The Intelligent Failure Connection Algorithm (IFCA) developed in this project can detect both stealth and normal worms within a short time.Experiments conducted as part of the evaluation shows that IFCA detects a worm within two scanning cycles of the worm.This is faster than any of the currently available algorithms or mechanisms reported in the literature.The IFCA uses Artificial Immune System (AIS) for the purpose of monitoring and detecting the worms.The Traffic Signature Algorithm (TSA) developed in the project captures the traffic signature of the worm from the infector when it sends the traffic to the victim.The Intelligent DNA Signature Detection Algorithm (IDNASDA) algorithm works by breaking an infection session into different infection phases, each phase containing a number of different traffic such as Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), or User Datagram Protocol (UDP).Finally it converts the traffic signature to DNA signature.The tests carried out show that the IDNASD could detect DNA signature for MSBlaster worm.…”
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  2. 2
    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network by Rashid, Sami Abduljabbar, Audah, Lukman, Hamdi, Mustafa Maad, Jubair, Mohammed Ahmed, Hassan, Mustafa Hamid, Abood, Mohammed Salah, A. Mostafa, Salama

    Published 2023
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  3. 3
    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

    A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network by Sami Abduljabbar Rashid, Sami Abduljabbar Rashid, Lukman Audah, Lukman Audah, Mustafa Maad Hamdi, Mustafa Maad Hamdi, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair, Mustafa Hamid Hassan, Mustafa Hamid Hassan, Mohammed Salah Abood, Mohammed Salah Abood, Salama A. Mostafa, Salama A. Mostafa

    Published 2023
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  4. 4
    CSC583 - Artificial Intelligence Algorithms / College of Computing, Informatics and Media

    CSC583 - Artificial Intelligence Algorithms / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

    Published 2018
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  5. 5
    CSC583: Artificial Intelligence Algorithms / College of Computing, Informatics and Mathematics

    CSC583: Artificial Intelligence Algorithms / College of Computing, Informatics and Mathematics by UiTM, College of Computing, Informatics and Mathematics

    Published 2018
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  6. 6
    Heuristic factors in ant system algorithm for course timetabling problem

    Heuristic factors in ant system algorithm for course timetabling problem by Djamarus, Djasli, Ku-Mahamud, Ku Ruhana

    Published 2009
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  7. 7
    A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients

    A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients by Rahman, Md Saidur, Md Nor, Nor Saadah

    Published 2024
    “…The other way around, AI is a limb of Computer Science dedicated to developing systems that do what a human does intelligently. …”
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  8. 8
    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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  9. 9
    Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.]

    Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.] by M. A., Hambali, Y. K, Saheed, M. D, Gbolagade, M, Gaddafi

    Published 2017
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  10. 10
    An Intelligent System Approach to the Dynamic Hybrid Robot Control

    An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

    Published 1996
    “…To derive a complete intelligent state-of-the-art hybrid control system, several experiments were conducted in the study. …”
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  11. 11
    Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar

    Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar by Abu Bakar, Nordin

    Published 2016
    “…Machine learning frameworks have been utilised to facilitate intelligence as operational mechanism in intelligence embedded system such as learning system, prediction protocol and robot navigation system. …”
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  12. 12
    eVtols : smart air mobility project / Muhammad Faiz Abu Hassan

    eVtols : smart air mobility project / Muhammad Faiz Abu Hassan by Abu Hassan, Muhammad Faiz

    Published 2024
    “…The Smart Ocean Mobility Project represents a groundbreaking initiative at the intersection of cutting-edge patrol boat technology and aerial surveillance, driven by artificial intelligence (AI) algorithms. With a strategic focus on transforming maritime security, this project integrates autonomous patrol boats equipped with advanced sensors, communication systems, and autonomous navigation features. …”
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  13. 13
    Evaluate the performance of university timetabling problem with various artificial intelligence techniques

    Evaluate the performance of university timetabling problem with various artificial intelligence techniques by Hooi, Charmaine Wai Yee

    Published 2025
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    Final Year Project / Dissertation / Thesis
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  14. 14
    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 Mohammad Kamrul, Hasan, Musse Mohamud, Ahmed, Aisha, Hassan Abdalla Hashim, Abdur Razzaque, Shayla Islam, Biswajeet, Pandey

    Published 2020
    “…The revolutionary Artificial Intelligence (AI) enables the industrial revolution to provide a significant performance to engineering solutions. …”
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  15. 15
    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
    “…The revolutionary Artificial Intelligence (AI) enables the industrial revolution to provide a significant performance to engineering solutions. …”
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  16. 16
    CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media

    CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

    Published 2015
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  17. 17
    CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Mathematics

    CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Mathematics by UiTM, College of Computing, Informatics and Mathematics

    Published 2012
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  18. 18
    CSC728 - Machine Learning / College of Computing, Informatics and Media

    CSC728 - Machine Learning / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

    Published 2022
    “…The ability to learn is a fundamental characteristic of intelligent behavior. This course aims to introduce Machine Learning to postgraduate students in Artificial Intelligence. …”
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  19. 19
    CSC728: Machine Learning / College of Computing, Informatics and Mathematics

    CSC728: Machine Learning / College of Computing, Informatics and Mathematics by UiTM, College of Computing, Informatics and Mathematics

    Published 2017
    “…The ability to learn is a fundamental characteristic of intelligent behavior. This course aims to introduce Machine Learning to postgraduate students in Artificial Intelligence. …”
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  20. 20
    Temperature Control for Engineering Undergraduate Fuzzy Logic Labotary

    Temperature Control for Engineering Undergraduate Fuzzy Logic Labotary by Mohd Fadzil Abu Hassan, Yusman Yusof, Muhammad Sobri Ramli

    Published 2013
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