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    Securing cloud data system (SCDS) for key exposure using AES algorithm by Thabet Albatol, Mohammed Samer Hasan

    Published 2021
    “…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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    Hybridizing Invasive Weed Optimization with Firefly Algorithm for Unconstrained and Constrained Optimization Problems by Hyreil A., Kasdirin, N. M., Yahya, M. S. M., Aras, Tokhi, M. O.

    Published 2017
    “…The performance of the proposed method is assessed with four well-known unconstrained problems and four practical constrained problems. Comparative assessments of performance of the proposed algorithm with the original FA and IWO are carried out on the unconstrained problems and with several other hybrid methods reported in the literature on the practical constrained problems, to illustrate its effectiveness. …”
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    Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.] by Mohd, Thuraiya, Jamil, Syafiqah, Masrom, Suraya, Ab Rahim, Norbaya

    Published 2021
    “…This paper provides an empirical study report, that building price predictions are based on green building and other general determinants. …”
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    Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions by Shamshad, H., Ullah, F., Ullah, A., Kebande, V.R., Ullah, S., Al-Dhaqm, A.

    Published 2023
    “…The paper suggests that the ARIMA technique offers practical implications for market analysts, enabling them to make well-informed decisions based on accurate price projections. …”
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    Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin by Husin, Hapida

    Published 2008
    “…The data has been chunk into a few series to determine the significant variables for predicting churn. Computer program were written in Matlab to implement the training and testing programs for the ANN algorithms. …”
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    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Thus, the BBNs represent the dependencies in the variables better than assuming independence of all the variables. …”
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    Hybrid modelling and kinetic estimation for polystyrene batch reactor using Artificial Neutral Network (ANN) approach by Hosen, M.A., Hussain, Mohd Azlan, Mjalli, F.S.

    Published 2011
    “…The experimental validation of the model revealed that the new model has high prediction capabilities compared withother reported models. …”
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    Optimum Design of PIλDμ Controller for an Automatic Voltage Regulator System Using Combinatorial Test Design by Ahmed, Bestoun S., Sahib, Mouayad A., Gambardella, Luca M., Afzal, Wasif, Kamal Z., Zamli

    Published 2016
    “…Throughout the paper, we justify this new application theoretically and practically through simulations. In addition, we report on first experiments indicating its practical use in this field. …”
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    Electrocardiogram-based parameters for the prediction of sudden cardiac death: a review by Shaliza Jumahat, Norbahiah Misran, Gan, Kok Beng, Mohammad Tariqul Islam, M.A.M Yahya

    Published 2020
    “…A number of systematic reports by expert meetings and review articles in indexed journals identified ECG-based parameters as QRS duration, QT interval, Signal Average ECG (SAECG), T-wave alternan (TWA), Heart Rate Variability (HRV), Heart Rate Turbulence (HRT), T-peak to T-end (Tpe), fragmented QRS complexes (fQRS), and Early Repolarization (ER). …”
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    The relationships between brand attributes and word of mouth on brand identity and brand image by Al Kasassbh, Hazem Mohamad Abd Al Ghany

    Published 2017
    “…The PLS path modelling reported significant results of the major hypotheses; brand sustainability was the only variable not significantly related to brand image. …”
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