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  1. 1
    Multi-target tracking algorithm in intelligent transportation based on wireless sensor network

    Multi-target tracking algorithm in intelligent transportation based on wireless sensor network by Lei, Yang, Wu, Yuan, Khan Chowdhury, Ahmed Jalal

    Published 2018
    “…A multi-target tracking algorithm using wireless sensors in an intelligent transportation system is proposed. …”
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  2. 2
    PID tuning control strategy using Cuckoo search algorithm for pressure plant

    PID tuning control strategy using Cuckoo search algorithm for pressure plant by Singh, K.S.M.J., Elamvazuthi, I., Shaari, K.Z.K., Lima, F.V.

    Published 2017
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  3. 3
    A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali

    A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali by Mohamed Kamali, Mohd Zahurin

    Published 2015
    “…Swarm intelligence is a modern artificial intelligence discipline that is concerned with the design and optimization of multiagent systems with applications in robotics. …”
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  4. 4
    Intelligent control of grain drying process using fuzzy logic controller.

    Intelligent control of grain drying process using fuzzy logic controller. by Mansor, Halimathon, Mohd Noor, Samsul Bahari, Raja Ahmad, Raja Mohd Kamil, Taip, Farah Saleena, Lutfy, Omar F.

    Published 2010
    “…Two inputs and one output fuzzy logic controller has been designed to drive the grain flow rate which is used as the manipulated variable. A new algorithm of fuzzy logic controller for a grain drying process has been introduced. …”
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  5. 5
    Intelligent control of grain drying process using fuzzy logic controller

    Intelligent control of grain drying process using fuzzy logic controller by Mansor, Hasmah, Mohd Noor, Samsul Bahari, Raja Ahmad, Raja Kamil, Taip, Farah Saleena, Lutfy, Omar Farouq

    Published 2010
    “…Two inputs and one output fuzzy logic controller has been designed to drive the grain flow rate which is used as the manipulated variable. A new algorithm of fuzzy logic controller for a grain drying process has been introduced. …”
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  6. 6
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by SALH, ADEB, NGAH, RAZALI, Audah, Lukman, SOON KIM, KWANG, ALJALOUD, KHALED A., TALIB, HAIRUL NIZAM

    Published 2023
    “…The proposal efficiently optimized the computation frequency allocation and reduced energy consumption in IoT devices by solving the bandwidth optimization problem in closed form. The remaining computational frequency allocation, transmission power allocation, and loss could be resolved with an Alternative Direction Algorithm (ADA) to reduce energy consumption and complexity at every iteration of FL time from IoT devices to edge intelligence nodes. …”
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  7. 7
    i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm

    i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm by Foo, Fong Yeng, Suhaimi, Azrina, Soo, Kum Yoke

    Published 2020
    “…A stopping criterion for evolutionary algorithms like Genetic Algorithm (GA) is crucial in determining the optimum solution. …”
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  8. 8
    NSGA-III algorithm for optimizing robot collaborative task allocation in the internet of things environment

    NSGA-III algorithm for optimizing robot collaborative task allocation in the internet of things environment by Shen, jiazheng, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar, As’arry, Azizan, Wang, Xinming

    Published 2024
    “…A genetic algorithm based on speed invariant and the elite algorithm is proposed to solve the multi-TSP assignment problem. …”
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  9. 9
    Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G

    Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G by Ngah, Razali, Salh, Adeeb, Audah, Lukman, Abdullah, Qazwan, Kim, Kwang Soon, Al-Moliki, Yahya Mohammed Hameed, AlJaloud, Khaled A., Talib, Md Hairul Nizam

    Published 2023
    “…The proposal efficiently optimized the computation frequency allocation and reduced energy consumption in IoT devices by solving the bandwidth optimization problem in closed form. The remaining computational frequency allocation, transmission power allocation, and loss could be resolved with an Alternative Direction Algorithm (ADA) to reduce energy consumption and complexity at every iteration of FL time from IoT devices to edge intelligence nodes. …”
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  10. 10
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by SALH, ADEB, NGAH, RAZALI, AUDAH, LUKMAN, KWANG SOON KIM, KWANG SOON KIM, ABDULLAH, QAZWAN, M. AL-MOLIKI, YAHYA, A. ALJALOUD, KHALED, TALIB, HAIRUL NIZAM

    Published 2023
    “…The proposal efficiently optimized the computation frequency allocation and reduced energy consumption in IoT devices by solving the bandwidth optimization problem in closed form. The remaining computational frequency allocation, transmission power allocation, and loss could be resolved with an Alternative Direction Algorithm (ADA) to reduce energy consumption and complexity at every iteration of FL time from IoT devices to edge intelligence nodes. …”
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  11. 11
    DisClose: Discovering colossal closed itemsets via a memory efficient compact row-tree

    DisClose: Discovering colossal closed itemsets via a memory efficient compact row-tree by Zulkurnain , N.F., Haglin, David J., Keane, John A

    Published 2013
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  12. 12
    Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data

    Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data by A.F.M., Hani, M.S., Younis

    Published 2007
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  13. 13
    Non-probabilistic approach to cooperative position tracking in large swarm of simple mobile robots using triangular cross-observation

    Non-probabilistic approach to cooperative position tracking in large swarm of simple mobile robots using triangular cross-observation by Din, Abdul Sattar

    Published 2013
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  14. 14
    A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells

    A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells by Mohd Farid, Atan, Mohamad Afiq, Mohd Asrul, Andrica Claudia, Henry, Hafizah, Abdul Halim Yun, Ivy Tan, Ai Wei, Josephine Lai, Chang Hui

    Published 2025
    “…By directly targeting the bottlenecks of controller portability, computational load, and integration with industrial supervisory systems, this framework provides a practical roadmap for deploying intelligent MEC control across large-scale wastewater-to-hydrogen facilities.…”
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  15. 15
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, KWANG SOON KIM, KWANG SOON KIM, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIKI, YAHYA M. AL-MOLIKI, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB

    Published 2023
    “…The proposal efficiently optimized the computation frequency allocation and reduced energy consumption in IoT devices by solving the bandwidth optimization problem in closed form. The remaining computational frequency allocation, transmission power allocation, and loss could be resolved with an Alternative Direction Algorithm (ADA) to reduce energy consumption and complexity at every iteration of FL time from IoT devices to edge intelligence nodes. …”
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  16. 16
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIK, YAHYA M. AL-MOLIK, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB

    Published 2023
    “…The proposal efficiently optimized the computation frequency allocation and reduced energy consumption in IoT devices by solving the bandwidth optimization problem in closed form. The remaining computational frequency allocation, transmission power allocation, and loss could be resolved with an Alternative Direction Algorithm (ADA) to reduce energy consumption and complexity at every iteration of FL time from IoT devices to edge intelligence nodes. …”
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  17. 17
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, KWANG SOON KIM, KWANG SOON KIM, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIKI, YAHYA M. AL-MOLIKI, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB

    Published 2023
    “…The proposal efficiently optimized the computation frequency allocation and reduced energy consumption in IoT devices by solving the bandwidth optimization problem in closed form. The remaining computational frequency allocation, transmission power allocation, and loss could be resolved with an Alternative Direction Algorithm (ADA) to reduce energy consumption and complexity at every iteration of FL time from IoT devices to edge intelligence nodes. …”
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  18. 18
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, KWANG SOON KIM, KWANG SOON KIM, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIKI, YAHYA M. AL-MOLIKI, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB

    Published 2023
    “…The proposal efficiently optimized the computation frequency allocation and reduced energy consumption in IoT devices by solving the bandwidth optimization problem in closed form. The remaining computational frequency allocation, transmission power allocation, and loss could be resolved with an Alternative Direction Algorithm (ADA) to reduce energy consumption and complexity at every iteration of FL time from IoT devices to edge intelligence nodes. …”
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  19. 19
    Performance analysis of constrained device virtualization algorithm

    Performance analysis of constrained device virtualization algorithm by Haseeb, Shariq, Hassan Abdalla Hashim, Aisha, Khalifa, Othman Omran, Ismail, Ahmad Faris

    Published 2020
    “…Internet of Things aims to automate and add intelligence into existing processes by introducing constrained devices such as sensors and actuators. …”
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  20. 20
    An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems

    An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems by Admon, Mohd Rashid, Senu, Norazak, Ahmadian, Ali, Abdul Majid, Zanariah

    Published 2024
    “…The network parameters are trained using the Adam optimization method with the aid of automatic differentiation. A vectorization algorithm is designated for the selected step to make the computation process more efficient. …”
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