Search Results - (( variable visualisation using algorithm ) OR ( evolution optimisation research algorithm ))

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  1. 1
    Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)

    Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse) by Jia, Xing Yeoh, Chuii, Khim Chong, Mohd Saberi, Mohamad, Yee, Wen Choon, Lian, En Chai, Safaai, Deris, Zuwairie, Ibrahim

    Published 2015
    “…The hybrid of Differential Evolution algorithm with Kalman Filtering and Bacterial Foraging algorithm is a novel global optimisation method implemented to obtain the best kinetic parameter value. …”
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  2. 2
    ENGINEERING DESIGN WITH PSO ALGORITHM

    ENGINEERING DESIGN WITH PSO ALGORITHM by MHD BASIR, SITI NUR HAJAR

    Published 2019
    “…It assists design engineers as it gives a clearer visualization to predict which value of the variables gives a best produced result. This dissertation will demonstrate the ability of PSO Algorithm in improving design areas by the use of recommendation system that helps engineering designers to visualise an optimal design.…”
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  3. 3
    Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization

    Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization by Nanyonga Aziida, Sorayya Malek, Firdaus Aziz, Khairul Shafiq Ibrahim, Sazzli Kasim

    Published 2021
    “…ML models were constructed using 302 patients and 54 input variables from the Malaysian National Cardiovascular Disease Database. …”
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  4. 4
    B-spline curve fitting with different parameterization methods

    B-spline curve fitting with different parameterization methods by Kheng, Jia Shen

    Published 2020
    “…After generating control points, distance between the generated and original data points is used to identify the error of the algorithm. Later, genetic algorithm and differential evolution optimization are used to optimise the error of the curve. …”
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    Final Year Project / Dissertation / Thesis
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  5. 5
    Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis

    Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis by Nurliyana Juhan, Yong Zulina Zubairi, Ahmad Syadi Mahmood Zuhdi, Zarina Mohd Khalid

    Published 2023
    “…Conclusions The data visualisation analysis can be a powerful tool to understand the relationships between the CVD prognostic variables and can be useful to clinicians.…”
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  6. 6
    Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level

    Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

    Published 2024
    thesis::doctoral thesis
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  7. 7
    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods

    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods by Kadhem, Athraa Ali

    Published 2017
    “…This study sought to examine the performance of three newly proposed techniques, for reliability assessment of the power systems, namely Disparity Evolution Genetic Algorithm (DEGA), Binary Particle Swarm Optimisation (BPSO), and Differential Evolution Optimization Algorithm (DEOA). …”
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  8. 8
    Analysis of the dynamics of a vector-borne infection with the effect of imperfect vaccination from a fractional perspective

    Analysis of the dynamics of a vector-borne infection with the effect of imperfect vaccination from a fractional perspective by Tang T.-Q., Jan R., Khurshaid A., Shah Z., Vrinceanu N., Racheriu M.

    Published 2024
    “…On the other hand, vaccination, memory index or fractional order, and treatment could be used as efficient controlling variables. � 2023, Springer Nature Limited.…”
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  9. 9
    Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space

    Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space by Annisa, Jamali, Sheldon Ijau, Winston

    Published 2022
    “…In this study, an axis manipulation using a geometrical approach is used. Initially, a general algorithm for a 2-m-link hyper-redundant robot in 3D is generated. …”
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  10. 10
    Bioinformatics analysis and spatiotemporal distribution of the f lic gene and its protein isolated from Escherichia coli-infected patients in Eastern Algeria

    Bioinformatics analysis and spatiotemporal distribution of the f lic gene and its protein isolated from Escherichia coli-infected patients in Eastern Algeria by Harrar, Abdenassar, Awang Hamat, Rukman, Hamidechi, Mohamed Abdelhafid

    Published 2024
    “…The alignment results were then visualised using the MView programme. Finally, a phylogenetic tree was constructed using the maximum likelihood algorithm in MEGA 11 software. …”
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  11. 11
    Bioinformatics analysis and spatiotemporal distribution of the fliC gene and its protein isolated from Escherichia coli-infected patients in eastern Algeria

    Bioinformatics analysis and spatiotemporal distribution of the fliC gene and its protein isolated from Escherichia coli-infected patients in eastern Algeria by Harrar, Abdenassar, Hamat, Rukman Awang, Hamidechi, Mohamed Abdelhafid

    Published 2024
    “…The alignment results were then visualised using the MView programme. Finally, a phylogenetic tree was constructed using the maximum likelihood algorithm in MEGA 11 software. …”
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  12. 12
    Development of tool life prediction model of TiAlN coated tools during the high speed hard milling of AISI H13 steel

    Development of tool life prediction model of TiAlN coated tools during the high speed hard milling of AISI H13 steel by Amin, A. K. M. Nurul, Hafiz, A.M. Khalid, Lajis, M. A.

    Published 2011
    “…Shunmugam et al. [7] also combined RSM with differential evolution and genetic algorithms to draw a comparison between these methods. …”
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