Search Results - (( developing fraction impacts algorithm ) OR ( java implication based algorithm ))

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    Numerical study of heat transfer in 90 bend tube by AL2O3 nanofluids using fluid injection by Mahdizadeh, Hadi, Adam, Nor Mariah

    Published 2020
    “…Findings Heat transfer coefficient enhanced 1.5% when volume fraction increased from 2 % to 6%, the. It is due to the impact of nanoparticles on the thermal conductivity of the fluid. …”
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    Article
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    Methodology of rolling horizon scheduling under demand uncertainty by Romli, Awanis, Ameendeen, Mohamed Ariff, Ahmad, Norasnita

    Published 2006
    “…This model use a combination of an autoregressive fractionally integrated moving average (ARFIMA) forecasting model and fractional differencing method. …”
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    Resource allocation based on interference coordination for Multicast-Broadcast Single Frequency Network (MBSFN) / Mohd Fahmi Azman by Mohd Fahmi , Azman

    Published 2013
    “…The impact of interference in each frequency reuse scheme has been evaluated by calculating its SINR. …”
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    Thesis
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    Runtime pluggable CPU scheduler for linux operating system by Al-Maweri, Nasr Addin Ahmed Salem

    Published 2010
    “…It also provides a flexible interface for kernel developers which facilitates the evaluation and testing for their newly developed scheduling algorithms. …”
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    Thesis
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    Power ultrasonic assisted mixing and proofing during bread making process by Che Pa, Nasrul Fikry

    Published 2014
    “…Power levels of 1.00, 1.50, 2.05 and 2.50 kW and durations of 10, 20, 30, and 40 minutes (for mixing); 15, 30, 45, 60 minutes (for proofing) were used. A simplified algorithm using Vision Assistant 2009 (National Instruments) imaging software was developed to assist in crumb structure analysis of bread. …”
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    Thesis
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    Parametric investigation of battery thermal management system with phase change material, metal foam, and fins; utilizing CFD and ANN models by Najafi Khaboshan, Hasan, Jaliliantabar, Farzad, Abdul Adam, Abdullah, Panchal, Satyam, Azarinia, Amiratabak

    Published 2024
    “…Finally, an artificial neural network model is developed using the backpropagation learning technique coupled with the gradient descent optimization algorithm. …”
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