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  1. 1
    Numerical study on natural convection in inclined enclosures with non-uniform boundary conditions / Cheong Huey Tyng

    Numerical study on natural convection in inclined enclosures with non-uniform boundary conditions / Cheong Huey Tyng by Cheong, Huey Tyng

    Published 2013
    “…An appropriate numerical algorithm is developed to find the numerical solutions of heat transfer and fluid flow in the enclosures. …”
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  2. 2
    Development of a Universal Artificial Neural Network Model for Pressure Loss Estimation in Pipeline Systems; A comparative Study

    Development of a Universal Artificial Neural Network Model for Pressure Loss Estimation in Pipeline Systems; A comparative Study by Ayoub, Mohammed Abdalla, Demiral, B.M.R

    Published 2010
    “…This study aims to develop a universal artificial neural network model for estimating pressure drop at pipelines under multiphase flow conditions. …”
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  3. 3
    Mixed convection in a lid-driven enclosure filled with hybrid nanofluid by finite volume method

    Mixed convection in a lid-driven enclosure filled with hybrid nanofluid by finite volume method by Ridha Ali, Inas

    Published 2022
    “…For the past decade, researchers reported that nanofluid enhances heat transfer and fluid flow. With rapid development in engineering, scientists and engineers have begun to study the fluid flow and heat transfer pattern of hybrid nanofluids. …”
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  4. 4
    Convective boundary layer flow of Jeffrey fluid and Jeffrey nanofluid over various geometry

    Convective boundary layer flow of Jeffrey fluid and Jeffrey nanofluid over various geometry by Syazwani, Mohd Zokri

    Published 2019
    “…Owing to these reasons, the proposed study herein aims to examine the mathematical models for forced, free and mixed convection flows of Jeffrey fluid. Flow that is induced by various surfaces such as stretching sheet, inclined stretching sheet and horizontal circular cylinder under the absence or presence of nanoparticles is considered. …”
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  5. 5
    ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets

    ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets by Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Khan, Sheroz

    Published 2021
    “…The processed metadata is normalized for the easiness of algorithm analysis and modelled with machine learning-based latest deep learning ensemble LSTM algorithms for anomaly detection. …”
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