Search Results - (( developing sigma methods algorithm ) OR ( java visualisation using algorithm ))

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  1. 1
    Visualisation tool to study malaria transmission using network modelling

    Visualisation tool to study malaria transmission using network modelling by Wong,, Ji Yeh

    Published 2014
    “…Java was used to implement the visualisation tool. …”
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    Final Year Project Report / IMRAD
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  2. 2
    An improved Pi-Sigma neural network using error feedback for time series prediction

    An improved Pi-Sigma neural network using error feedback for time series prediction by Akram, Urooj

    Published 2018
    “…This study proposed a model called improved Pi-Sigma Neural Network using Error Feedback (PSNN-EF) which combines the properties of Pi-Sigma Neural Network (PSNN), recurrence and error feedback. …”
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    Thesis
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  3. 3
    Under voltage load shedding scheme using meta-heuristic optimization methods [Meta-heurystyczne metody optymalizacyjne wykorzystywane do szybkiego pozbywania si? obci??enia sieci]

    Under voltage load shedding scheme using meta-heuristic optimization methods [Meta-heurystyczne metody optymalizacyjne wykorzystywane do szybkiego pozbywania si? obci??enia sieci] by Verayiah R., Mohamed A., Shareef H., Abidin I.Z.

    Published 2023
    “…Meta-heuristic optimization approaches are currently the widely developed methods because of their robustness and flexibility in dealing with complex and non-linear systems. …”
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  4. 4
    Investigation of load variant under power distribution network reconfiguration using EPSO algorithm

    Investigation of load variant under power distribution network reconfiguration using EPSO algorithm by Sulaima, Mohamad Fani, Wong, Kok Loong, Bohari, Zul Hasrizal, Mohd Nasir, Mohamad Na'im

    Published 2024
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    Article
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  5. 5
    Vibration analysis for early detection of bearing failures

    Vibration analysis for early detection of bearing failures by Gam, Kheng Shiang

    Published 2024
    “…The aim of this study is to investigate the vibration characteristics of defective bearings by developing a reliable vibration monitoring system. The vibration monitoring algorithm utilizes time-domain parameters, frequency domain analysis, and envelope analysis to assess bearing conditions. …”
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    Final Year Project / Dissertation / Thesis
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