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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
    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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  3. 3
    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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  4. 4
    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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  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
    Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm

    Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm by Alzeini, Haytham I M, Hameed, Shihab A., Habaebi, Mohamed Hadi

    Published 2013
    “…OLAP has been considered as a powerful method for analysing excessive size of data that works closely to intelligent business, medical fields. …”
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  7. 7
    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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  8. 8
    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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  9. 9
    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
    “…Microbial electrolysis cells (MECs) convert wastewater into renewable hydrogen; however, their commercial adoption is hindered by highly nonlinear dynamics, complex microbial interactions, and inadequate process control. This review traces the evolution of five control paradigms, including voltage/proportional-integral-derivative (PID), model-based, adaptive, fuzzy logic, and artificial-intelligence (AI) systems, as well as hybrid intelligent controllers, and benchmarks each against scalability, dynamic responsiveness, and energy-recovery performance. …”
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  10. 10
    Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach

    Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach by Wahab, Ahmad Khairi Abdul, Hussain, Mohd Azlan, Omer, Rosli

    Published 2007
    “…The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. …”
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  11. 11
    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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  12. 12
    Forecasting Malaysian exchange rate artificial neural network : 2010-2018 / Ikhwan Muzammil Amran

    Forecasting Malaysian exchange rate artificial neural network : 2010-2018 / Ikhwan Muzammil Amran by Amran, Ikhwan Muzammil

    Published 2018
    “…The training algorithm that applied is Quasi-Netwon based on the lowest recorded absolute training error. …”
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  13. 13
    Forecasting Malaysian exchange rate using artificial neural network / Ikhwan Muzammil Amran and Anas Fathul Ariffin

    Forecasting Malaysian exchange rate using artificial neural network / Ikhwan Muzammil Amran and Anas Fathul Ariffin by Amran, Ikhwan Muzammil, Ariffin, Anas Fathul

    Published 2020
    “…The training algorithm that applied is Quasi Netwon based on the lowest recorded absolute training error. …”
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  14. 14
    Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review

    Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review by Hashim, Suraya, Omar, Muhd Khaizer, Ab. Jalil, Habibah, Mohd Sharef, Nurfadhlina

    Published 2022
    “…The continuous development of new technology and rapid advancement of Artificial Intelligence (AI) contribute to the improvement and enrichment of the teaching and learning process. …”
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  15. 15
    Adaptable decentralized orchestration engine for block structured non-transactional workflow in service oriented architecture.

    Adaptable decentralized orchestration engine for block structured non-transactional workflow in service oriented architecture. by Esfahani, Faramarz Safi

    Published 2011
    “…The latter considers the frequent-path adaptability and both of them together satisfy both frequent-path and proportionalfragment adaptability aspects; v) A Fuzzy Decentralization Decision Making algorithm (FDDM) is presented based on the fuzzy logic to choose a suitable method of decentralization that satisfies the three adaptability aspects frequent-path,proportional- fragment and available-bandwidth; and, vi) an algorithm is introduced for wiring of dynamic fragments. …”
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  16. 16
    A Hybrid of Functional Networks and Support Vector Machine Models for the Prediction of Petroleum Reservoir Properties

    A Hybrid of Functional Networks and Support Vector Machine Models for the Prediction of Petroleum Reservoir Properties by Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem

    Published 2011
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  17. 17
    An adaptive trajectory tracking control of four rotor hover vehicle using extended normalized radial basis function network

    An adaptive trajectory tracking control of four rotor hover vehicle using extended normalized radial basis function network by ul Amin, Rooh, Aijun, Li, Khan, Muhammad Umer, Shamshirband, Shahaboddin, Kamsin, Amirrudin

    Published 2017
    “…Mathematical model of four rotor hover system is developed using equations of motions and a new computational intelligence based technique ENRBFN is introduced to approximate the unmodeled dynamics of the hover vehicle. …”
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  18. 18
    A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain

    A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain by Mohd Hussain, Mohd Najib

    Published 2016
    “…This thesis focussed on the development of PV module integrated with positive output (PO) buck-boost converter by intelligent control of MPPT technique. A novel of combination direct and indirect (CoDId) MPPT algorithm is implemented for solving mismatch losses from existing PV system by employing the implementation of system identification approach. …”
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  19. 19
    A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification

    A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification by Sa'ad, Mohamad Iqbal

    Published 2006
    “…The comparison made showed that LM learning algortihm is a faster training algorithm compared to BR training algorithm meanwhile BR learning algorithm capable of building a superior intelligent system in term of the overall system performance.…”
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  20. 20
    Estimation-based Metaheuristics: A New Branch of Computational Intelligence

    Estimation-based Metaheuristics: A New Branch of Computational Intelligence by Nor Hidayati, Abd Aziz, Zuwairie, Ibrahim, Saifudin, Razali, Nor Azlina, Ab. Aziz

    Published 2016
    “…Metaheuristic algorithms can be classified based on their source of inspiration. …”
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