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  1. 1
    PREDICTING THE PRICE OF COTTON USING RNN AND LSTM

    PREDICTING THE PRICE OF COTTON USING RNN AND LSTM by MOHAMAD, AHMAD LUKMAN

    Published 2020
    “…The data will then be separated into training set and testing set and will be feed to the machine learning algorithm to find the pattern and try to do prediction. …”
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    Final Year Project
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  2. 2
    ExtraImpute: a novel machine learning method for missing data imputation

    ExtraImpute: a novel machine learning method for missing data imputation by Alabadla, Mustafa, Sidi, Fatimah, Ishak, Iskandar, Ibrahim, Hamidah, Affendey, Lilly Suriani, Hamdan, Hazlina

    Published 2022
    “…To evaluate the efficiency of our algorithm, several experiments are conducted on five different benchmark healthcare datasets and compared to other commonly used imputation methods, viz. missForest, KNNImpute, Multivariate Imputation by Chained Equations (MICE), and SoftImpute. …”
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  3. 3
    Error concealment technique using wavelet neural network for wireless transmitted digital images

    Error concealment technique using wavelet neural network for wireless transmitted digital images by Al-Azzawi, Alaa Khamees

    Published 2012
    “…Continuous flow to send images via encrypted wireless channels may reduce the efficiency of transmission. …”
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    Thesis
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  4. 4
    The transmission dynamic of the COVID 19 outbreak : a predictive dashboard

    The transmission dynamic of the COVID 19 outbreak : a predictive dashboard by Muhammad Fahmi Ahmad Zuber, Norhayati Rosli, Noryanti Muhammad

    Published 2021
    “…The epidemic parameters and reproduction numbers are estimated and fitted from the transmission model to the actual data using the Monte Carlo Markov Chain (MCMC) of Metropolis-Hasting. The model is solved using a numerical algorithm of the Runge-Kutta method. …”
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    The transmission dynamic of the COVID 19 outbreak: A predictive dashboard

    The transmission dynamic of the COVID 19 outbreak: A predictive dashboard by Muhammad Fahmi, Ahmad Zuber, Norhayati, Rosli, Noryanti, Muhammad

    Published 2021
    “…The epidemic parameters and reproduction numbers are estimated and fitted from the transmission model to the actual data using the Monte Carlo Markov Chain (MCMC) of Metropolis-Hasting. The model is solved using a numerical algorithm of the Runge-Kutta method. …”
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