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  1. 1
    Two objectives big data task scheduling using swarm intelligence in cloud computing

    Two objectives big data task scheduling using swarm intelligence in cloud computing by Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke, Islam, Shayla, Zarir, Abdullah Ahmad

    Published 2016
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  2. 2
    Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing

    Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing by Alobaedy, Mustafa Muwafak Theab

    Published 2015
    “…The main part of RMS is the scheduler algorithm which has the responsibility to map submitted tasks to available resources. …”
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  3. 3
    Efficiency and accuracy of scheduling algorithms for final year project evaluation management system

    Efficiency and accuracy of scheduling algorithms for final year project evaluation management system by Loo, Chang Herng, Muhammad Zulfahmi Toh, Abdullah, Ahmad Fakhri, Ab. Nasir, Nur Shazwani, Kamaruddin, Nur Hafieza, Ismail

    Published 2023
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  4. 4
    An improved fair nurse scheduling optimisation using particle swarm intelligent technique

    An improved fair nurse scheduling optimisation using particle swarm intelligent technique by Ramli, Mohamad Raziff

    Published 2015
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  5. 5
    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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  6. 6
    Application of an evolutionary algorithm-based ensemble model to job-shop scheduling

    Application of an evolutionary algorithm-based ensemble model to job-shop scheduling by Tan, Choo Jun, Neoh, Siew Chin, Lim, Chee Peng, Hanoun, Samer, Wong, Wai Peng, Loo, Chu Kiong, Zhang, Li, Nahavandi, Saeid

    Published 2019
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  7. 7
    Task scheduling in cloud computing using Harris-Hawk Optimization

    Task scheduling in cloud computing using Harris-Hawk Optimization by Iza A. A. Bahar, Azali Saudi, Abdul Kadir, Syed Nasirin Syed Zainol Abidin, Tamrin Amboala, Esmadi Abu Bin Abu, Abdullah B. Mohd. Tahir, Suddin Lada

    Published 2024
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    Proceedings
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  8. 8
    Managing risk in production scheduling under uncertain disruption

    Managing risk in production scheduling under uncertain disruption by Sarker, Ruhul, Essam, Daryl, Kamrul Hasan, S.M., Karim, A.N. Mustafizul

    Published 2015
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  9. 9
    Development of optimized maintenance scheduling model for coal-fired power plant boiler

    Development of optimized maintenance scheduling model for coal-fired power plant boiler by Noor Fazreen Binti Ahmad Fuzi, Ms.

    Published 2023
    “…Computing intelligence is a soft-computing subset of artificial intelligence referring to the potential of a computer to gain knowledge from an experimental observations or specific task. …”
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  10. 10
    Intelligent dashboard with speech enhancement

    Intelligent dashboard with speech enhancement by Abdul Rahman, Abdul Wahab, Tan, Eng Chong, Abut, Huseyin

    Published 1997
    “…Numerous asynchronous scheduling tasks necessitate the architecture to be re-configurable. …”
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  11. 11
    Processing time estimation in precision machining industry using AI / Lim Say Li

    Processing time estimation in precision machining industry using AI / Lim Say Li by Lim, Say Li

    Published 2017
    “…Neural Network (NN) model is chosen as the artificial intelligence approach used in this research. Levenberg-Marquardt algorithm is used as the training algorithm. …”
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  12. 12
    A New Grid Resource Discovery Framework

    A New Grid Resource Discovery Framework by Mahamat Issa, Hassan, Azween , Abdullah

    “…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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    Conference or Workshop Item
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  13. 13
    Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin

    Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin by Nordin, Muhammad Hilmi

    Published 2014
    “…In the operation and planning of a power system, Economic Load Dispatch is a crucial task to be performed which decided the generation schedule of generating units with the objective of minimizing the total fuel cost while maintaining the operational constraints. …”
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  14. 14
    A New Grid Resource Discovery Framework

    A New Grid Resource Discovery Framework by Hassan, Mahamat I., Azween, Abdullah

    Published 2011
    “…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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  15. 15
    A New Grid Resource Discovery Framework

    A New Grid Resource Discovery Framework by Mahamat Issa, Hassan, Azween, Abdullah

    Published 2009
    “…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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    Citation Index Journal
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  16. 16
    Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology

    Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology by Zhang, Hongli, Leong, Wai Yie

    Published 2024
    “…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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  17. 17
    A Computational Intelligent Algorithm For Solving Unit Commitment Problem

    A Computational Intelligent Algorithm For Solving Unit Commitment Problem by Aiza Nazifa Binti Mohd Zahari

    Published 2023
    text::Final Year Project
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  18. 18
    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
    “…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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  19. 19
    An efficient attack detection for Intrusion Detection System (IDS) in internet of medical things smart environment with deep learning algorithm

    An efficient attack detection for Intrusion Detection System (IDS) in internet of medical things smart environment with deep learning algorithm by Abdulkareem, Fatimah Saleem, Mohd Sani, Nor Fazlida

    Published 2023
    “…To achieve this, we measured the performance of three deep learning algorithms for normal and abnormal detection of IDS, and a comparison was made to select the best performance of the deep learning algorithm for detection in IDS, such as RNN, DBN and CNN. …”
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  20. 20
    An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms

    An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms by Akhtar, Shamim, Muhamad Zahim, Sujod, Rizvi, Syed Sajjad Hussain

    Published 2022
    “…The comprehensive comparative study preparatory to the recommendation of the best candidate out of 24 machine learning algorithms on the SEIL dataset is presented in this work. …”
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