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  1. 1
    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…This thesis presents a new approach to optimize the performance of a dual beam optical scanning system in terms of its scanning combinations and speed, using Genetic Algorithm (GA). …”
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  2. 2
    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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  3. 3
    Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm

    Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm by Badakhshian, Mostafa

    Published 2009
    “…Genetic algorithm (GA) proposed as a robust tool for optimization of scheduling problems. …”
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  4. 4
    Artificial Immune Algorithm Based Gravimetric Fluid Dispensing Machine

    Artificial Immune Algorithm Based Gravimetric Fluid Dispensing Machine by Yap, David F. W., Koh, S. P., Tiong, S. K., Sim, Edwin Y. S., Yaw, M. W.

    Published 2011
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  5. 5
    ARTIFICIAL IMMUNE ALGORITHM BASED GRAVIMETRIC FLUID DISPENSING MACHINE

    ARTIFICIAL IMMUNE ALGORITHM BASED GRAVIMETRIC FLUID DISPENSING MACHINE by Yap, David F. W., Koh, S. P., Tiong, S. K., Sim, Edwin Y. S., Yaw, M. W.

    Published 2011
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  6. 6
    Genetic ensemble biased ARTMAP method of ECG-Based emotion classification

    Genetic ensemble biased ARTMAP method of ECG-Based emotion classification by Loo, C.K., Liew, W.S., Sayeed, M.S.

    Published 2012
    “…The optimal combination of λ and training sequence can be computed efficiently using a genetic permutation algorithm. …”
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  7. 7
    HSV-template matching with MEESPSO algorithm for human tracking in a crowded environment

    HSV-template matching with MEESPSO algorithm for human tracking in a crowded environment by Nurul Izzatie Husna, Fauzi, Zalili, Musa

    Published 2024
    “…To address these issues, we introduced a new approach combining HSV-template matching with the MEESPSO algorithm. …”
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  8. 8
    Design of DNA fragment assembly using IWP method on application-specific integrated-circuit / Hasniliati Hassan

    Design of DNA fragment assembly using IWP method on application-specific integrated-circuit / Hasniliati Hassan by Hassan, Hasniliati

    Published 2017
    “…Hence, in this research a method is proposed to design the DNA sequence assembly accelerator. …”
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  9. 9
    Development and implementation of Intelligent Soot Blowing Optimization System for TNB Janamanjung

    Development and implementation of Intelligent Soot Blowing Optimization System for TNB Janamanjung by Sundaram T., Basim Ismail F., Gunnasegaran P., Gurusingam P.

    Published 2023
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  10. 10
    Artificial immune algorithm based gravimetric fluid dispensing machine

    Artificial immune algorithm based gravimetric fluid dispensing machine by Yap D.F.W., Koh S.P., Tiong S.K., Sim E.Y.S., Yaw M.W.

    Published 2023
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  11. 11
    Vector evaluated particle swarm optimization approach to solve assembly sequence planning problem

    Vector evaluated particle swarm optimization approach to solve assembly sequence planning problem by A. Mukred, Jameel A., A. Rahim, Ruzairi, Mohamad, Elmy Johana, Salh, Adeeb, Ashyap, Adel Y. I., Abdullah, Qazwan, AL-Fadhali, Najib, Al-Ameri, S., Al-Ashwal, Rania

    Published 2022
    “…Production scheduling is a complex combined optimization problem and the optimization method of which is not perfect [1]. …”
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  12. 12
    Direct Adaptive Predictive Control For Wastewater Treatment Plant

    Direct Adaptive Predictive Control For Wastewater Treatment Plant by Shair, Ezreen Farina, Abu Bakar, Norazhar, Mohd Nor, Arfah Syahida, Mohd Azam, Sazuan Nazrah, Mohd Sobran, Nur Maisarah, Zainal Abidin, Amar Faiz

    Published 2012
    “…The adaptive control structure is based on the linear model of the process and combined with numerical algorithm for subspace state space system identification (N4SID). …”
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  13. 13
    Design and analysis of low power sequence generator module for DNA fragment assembly: article / Nurul Amalina Abu Seman

    Design and analysis of low power sequence generator module for DNA fragment assembly: article / Nurul Amalina Abu Seman by Abu Seman, Nurul Amalina

    Published 2013
    “…The objectives of this project are to construct DNA Fragment Assembly module using Euler algorithm and optimize power consumption of the module. …”
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  14. 14
    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems

    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems by Woon, Siew Fang

    Published 2009
    “…These problems are known as discrete-valued optimal control problems. Most practical discrete-valued optimal control problems have multiple local minima and thus require global optimization methods to generate practically useful solutions. …”
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  15. 15
    Application of genetic algorithm methods to optimize flowshop sequencing problem

    Application of genetic algorithm methods to optimize flowshop sequencing problem by Mohd Fadil, Md Sairi

    Published 2008
    “…Application of genetic algorithm method to optimize flow shop sequencing problem as the title of this project is the study about the method used in order to optimize flow shop sequencing problem. …”
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  16. 16
    Design and analysis of low power sequence generator module for DNA fragment assembly / Nurul Amalina Abu Seman

    Design and analysis of low power sequence generator module for DNA fragment assembly / Nurul Amalina Abu Seman by Abu Seman, Nurul Amalina

    Published 2013
    “…The objectives of this project are to construct DNA Fragment Assembly module using Euler algorithm and optimize power consumption of the module. …”
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  17. 17
    Multiple and solid data background scheme for testing static single cell faults on SRAM memories

    Multiple and solid data background scheme for testing static single cell faults on SRAM memories by Zakaria, Nor Azura

    Published 2013
    “…Therefore, the purpose of this thesis is to introduce a Data Background (DB) scheme to generate an optimal March Test Algorithm (MTA) for detecting faults of memory that are undetectable using existing algorithms. …”
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  18. 18
    Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay

    Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay by Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail

    Published 2019
    “…The SED algorithm is an optimization method used as data-driven tools to find the optimal control parameters by using the input-output (I/O) data measurement in an actual system. …”
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  19. 19
    A study on component-based technology for development of complex bioinformatics software

    A study on component-based technology for development of complex bioinformatics software by Ali Shah, Zuraini, Deris, Safaai, Othman, Muhamad Razib, Zakaria, Zalmiyah, Saad, Puteh, Hassan, Rohayanti, Muda, Mohd. Hilmi, Kasim, Shahreen, Roslan, Rosfuzah

    Published 2004
    “…Based on the protein sequence datasets obtained from PISCES database, they found iii that the R-HCSVM performs outstanding result in predicting protein local structure from a given protein subsequence compared to other methods. …”
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  20. 20
    MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD

    MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD by ABDULLAH, H., LAW BOON HUI, C., ZAKARIA, M. S.

    Published 2023
    “…Thus, in this study, an optimization of the sequence operation in machining was conducted using an Artificial Intelligence method, which is the Ant Colony algorithm. …”
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