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  1. 1
    Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems

    Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems by Bibi Amirah Shafaa, Emambocus

    Published 2024
    “…Swarm intelligence algorithms are metaheuristic algorithms inspired by the simple interactions of biological organisms in a population. …”
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    Thesis
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  2. 2
    A genetic algorithm for the cryptanalysis of Chor-Rivest knapsack public key cryptosystem (PKC)

    A genetic algorithm for the cryptanalysis of Chor-Rivest knapsack public key cryptosystem (PKC) by Taha, Imad, Sahasrabuddhe, H.V.

    Published 1999
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  3. 3
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
    “…This work is focused on the implementation of evolutionary based computer algorithms, genetic algorithms (GAs), on microcontrollers. …”
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  4. 4
    Camera Sensor Network Localization Using FPGA

    Camera Sensor Network Localization Using FPGA by El-khatib, Lina Noaman, Hussin, Fawnizu Azmadi, Sebastian , Patrick

    Published 2010
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  5. 5
    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications

    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

    Published 2025
    “…However, embedded system often been having limited computing power, small memory storage and relies on battery capacity. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6
    Computational intelligence method for optimal rotary design system

    Computational intelligence method for optimal rotary design system by P.Saminathan, Kantan

    Published 2008
    “…The application of computational intelligence techniques to the field of industrial robot control is discussed. …”
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  7. 7
    Coordination of PSS and PID controller for power system stability enhancement - overview

    Coordination of PSS and PID controller for power system stability enhancement - overview by Kasilingam G., Pasupuleti J.

    Published 2023
    “…This paper broadly reviews the optimization methods and algorithms such as Conventional methods, Soft Computing, Genetic Algorithm (GA), Evolutionary Programming (EP), Differential Evolution (DE) and Swarm Intelligence methods were available for tuning the PID gains and PSS parameters successfully. …”
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  8. 8
    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 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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  9. 9
    Minimizing the number of stunting prevalence using the euclid algorithm clustering approach

    Minimizing the number of stunting prevalence using the euclid algorithm clustering approach by Zarlis, Muhammad, Oktavia, Tanty, Buaton, Relita, Ernawan, Ferda, Andrian, Kevin

    Published 2023
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  10. 10
    Improving ant swarm optimization with embedded vaccination for optimum reducts generation

    Improving ant swarm optimization with embedded vaccination for optimum reducts generation by Pratiwi, Lustiana, Choo, Yun Huoy, Draman @ Muda, Azah Kamilah, Draman @ Muda, Noor Azilah

    Published 2013
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  11. 11
    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 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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  12. 12
    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 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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  13. 13
    Comparative performance of machine learning algorithms for cryptocurrency forecasting

    Comparative performance of machine learning algorithms for cryptocurrency forecasting by Hitam, Nor Azizah, Ismail, Amelia Ritahani

    Published 2018
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  14. 14
    An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes

    An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes by Mohd Saberi, Mohamad, Sigeru, Omatu, Safaai, Deris, Yoshioka, Michifumi, Afnizanfaizal, Abdullah, Zuwairie, Ibrahim

    Published 2013
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  15. 15
    Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing

    Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing by S. Ahmed, Bestoun

    Published 2011
    “…Recently, researchers have started to explore the use of Artificial Intelligence (AI)-based algorithms as t-way (where t indicates the interaction strength) and variable-strength testing strategies. …”
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  16. 16
    Meta-requirement method towards analyzing completeness of requirements specification

    Meta-requirement method towards analyzing completeness of requirements specification by Muhamad Idaham, Umar Ong, Mohamed Ariff, Ameedeen, Imran Edzereiq, Kamarudin

    Published 2018
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  17. 17
    Hybrid Genetic Algorithm On Predicting Next Rainfall Distribution

    Hybrid Genetic Algorithm On Predicting Next Rainfall Distribution by Mohd Zain, Rasuan

    Published 2017
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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 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
    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 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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  20. 20
    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 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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