Search Results - (( outsider estimation methods algorithm ) OR ( hotel selection based algorithm ))*

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    Interpolation and extrapolation techniques based Neural Network in estimating the missing ionospheric TEC data by Jayapal V., Zain A.F.M.

    Published 2024
    “…A multilayer feed-forward network with a back propagation algorithm is applied to estimate the TEC over Parit Raja (Lat. 1�52?…”
    Conference Paper
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    Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution by Salih Al-Badri, Qussay Abbas

    Published 2006
    “…Gray level morphology methods are used to make tissue types in the images more homogenous and minimize difficulties with connections to outside tissue. …”
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    Thesis
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    WIMAX TESTBED by KOH , MINGHAO

    Published 2008
    “…The testbed will use the Double Sliding Window for timing offset synchronization and the Schmid! & Cox algorithm for Fractional Frequency Offset estimation. …”
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    Final Year Project
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    Modified sequential fences for identifying univariate outliers by Wong, Hui Shein

    Published 2016
    “…Moreover, we proposed a new method with modified algorithm and methodology namely bootstrap sequential fences. …”
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    Thesis
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    Implementation of case-based reasoning in help desk system by Tee, Shih Min

    Published 2019
    “…The aim of this research is to design and develop a Help Desk System used by tourism sector by applying Case-based Reasoning (CBR) algorithm. To achieve this aim, CBR algorithm will be studied and implemented in the help desk system to assist the travel agent provide recommendation to customers on selecting the hotel to stay based on customers’ requirements. …”
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    Undergraduates Project Papers
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    State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model by Dickson Neoh Tze How, Dr.

    Published 2023
    “…To select the optimal hyperparameters for the Transformer model, the Tree Parzen Estimator(TPE) optimization in combination with the Hyperband pruning algorithm is employed to search for the best combination that yields the lowest Root Mean Squared Error(RMSE)and Mean Absolute Error (MAE) error metrics. …”
    text::Thesis