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  1. 1
    Three-dimensional coverage control for multi-unmanned aerial vehicle

    Three-dimensional coverage control for multi-unmanned aerial vehicle by Siow, Wen Hao

    Published 2024
    “…This study proposes a 3D coverage control algorithm to address complex real-world scenarios, wherein the 3D control algorithm will be developed based on the 2D MBC scheme. …”
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  2. 2
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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    Monograph
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  3. 3
    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
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  4. 4
    Multi-Agent Reinforcement Learning For Swarm Robots Formation

    Multi-Agent Reinforcement Learning For Swarm Robots Formation by Bujang, Christina

    Published 2021
    “…The reinforcement learning algorithm offers one of the most general frameworks in learning subjects to address some of the control issues in a multi-agent system. …”
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    Monograph
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  5. 5
    Decentralized traffic signal control for grid traffic network using genetic algorithm

    Decentralized traffic signal control for grid traffic network using genetic algorithm by Min Keng Tan, Helen Sin Ee Chuo, Kiam Beng Yeo, Renee Ka Yin Chin, Sha Huang, Kenneth Tze Kin Teo

    Published 2019
    “…Each intersection is integrated with a GA based signal controller or known as agent to form a multi-agent system. …”
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    Proceedings
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  6. 6
    Cohesive token passing algorithm utilizing software agents

    Cohesive token passing algorithm utilizing software agents by Abdulrazzak, A. Fua’ad, Subramaniam, Shamala

    Published 2010
    “…The developed software agent is utilized to implement prioritized token access subject to the traffic type. …”
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  7. 7
    Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm

    Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm by Shalash, Nadheer A., Abu Zaharin, Ahmad

    Published 2014
    “…Two agents are developed based on fuzzy parameters of Monte Carlo i.e. current with its means and variances; the other agent is the probability of outage capacity for each state. …”
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  8. 8
    Development of gene motif modulation for information processing in artificial DNA computing

    Development of gene motif modulation for information processing in artificial DNA computing by Shamsudin, Ahmad Faizul, Suhaimi, Mohd Adam, Ibrahim Ali , Noorbatcha, Hussin, Ummu Salamah, A. F., Alya Khadijah, D., Nor Hidayah

    Published 2014
    “…In the artificial DNA computing model, the MAS (Multi-Agent System) algorithm depicts the sender agent transmits moleware information through the control agent which is then converted to binary data as input to the receiver agent. …”
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  9. 9
    Iteration strategy and ts effect towards the performance of population based metaheuristics

    Iteration strategy and ts effect towards the performance of population based metaheuristics by Nor Azlina, Ab. Aziz, Nor Hidayati, Abdul Aziz, Azlan, Abd Aziz, Tasiransurini, Abdul Rahman, Wan Zakiah, Wan Ismail, Zuwairie, Ibrahim

    Published 2020
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  10. 10
    A microscopic swarm model simulation and fractal approach towards swarm agent behaviour

    A microscopic swarm model simulation and fractal approach towards swarm agent behaviour by Widyarto, Setyawan, Abd. Latiff, Muhammad Shafie

    Published 2006
    “…The model represents detailed interaction of agents to control their movement in any agent arena. …”
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  11. 11
    Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems

    Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems by Mohd Helmi, Suid

    Published 2024
    “…Moreover, the Nonlinear Sine Cosine Algorithm-Safe Experimentation Dynamic (NSCA-SED) introduces a hybridization of multi-agent and single-agent algorithms, presenting a dynamic approach with random perturbation to navigate search trajectories effectively, and release design parameters that might be trapped in local optima. …”
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  12. 12
    A study on multi-agent systems for stable matching

    A study on multi-agent systems for stable matching by Mohd Syakirin, Ramli

    Published 2015
    “…The focal point of investigation in MAS has not only surrounded on the development of the control algorithms, but nowadays covers on the practically to use MAS as one of the problem solvers in the other fields of studies.…”
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  13. 13
    A simulation tool to evaluate the usability of agent centric Resource-Event-Agent (REA) database modeling methodology: The development of revenue cycle in accounting information system

    A simulation tool to evaluate the usability of agent centric Resource-Event-Agent (REA) database modeling methodology: The development of revenue cycle in accounting information sy... by Ming L.L.

    Published 2023
    Conference paper
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  14. 14
    Microscopic control and optimization of traffic network with Q-Learning algorithm

    Microscopic control and optimization of traffic network with Q-Learning algorithm by Chin, Yit Kwong

    Published 2013
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  15. 15
    Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function

    Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function by Tan, Min Keng

    Published 2019
    “…Each agent has the autonomy in controlling their local intersection which are coordinated by a superior agent that has superiority in overwriting the local control decision if conflict occurs. …”
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  16. 16
    Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems

    Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems by Zulkifli, Musa, Zuwairie, Ibrahim, Mohd Ibrahim, Shapiai

    Published 2024
    “…CTT can use small values for parameters P(0), Q, and R, so CKF was developed to overcome KF and other estimation algorithms. …”
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  17. 17
    Intelligent multi-objective control and management for smart energy efficient buildings

    Intelligent multi-objective control and management for smart energy efficient buildings by Shaikh, P.H., Nor, N.B.M., Nallagownden, P., Elamvazuthi, I., Ibrahim, T.

    Published 2016
    “…In this study, multi-agent control system has been developed in combination with stochastic intelligent optimization. …”
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  18. 18
    Intelligent multi-objective control and management for smart energy efficient buildings

    Intelligent multi-objective control and management for smart energy efficient buildings by Shaikh, P.H., Nor, N.B.M., Nallagownden, P., Elamvazuthi, I., Ibrahim, T.

    Published 2016
    “…In this study, multi-agent control system has been developed in combination with stochastic intelligent optimization. …”
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  19. 19
    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil

    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil by Idris, Siti Aishah, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
    “…The model will be designed and developed using a deep learning algorithm, which is YOLOv8, the latest version of YOLO. …”
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  20. 20
    Improved smoothed functional algorithmsoptimized pid controller for efficient speed regulation of wind turbines

    Improved smoothed functional algorithmsoptimized pid controller for efficient speed regulation of wind turbines by Mohd Ashraf, Ahmad, Yoganathan, G., Muhammad Ikram, Mohd Rashid, Hao, Mok Ren, Mohd Zaidi, Mohd Tumari

    Published 2025
    “…This study introduces a novel approach for PID controller tuning in wind turbine systems using single-agent optimization methods, specifically the memory smoothed functional algorithm (MSFA) and norm-limited smoothed functional algorithm (NL-SFA). …”
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