Search Results - (( java optimization based algorithm ) OR ( (parameter OR parameters) equations using algorithm ))

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  1. 1

    Numerical solution of Williamson hybrid ferrofluid over a stretching sheet / Puteri Ereena Shafira Mustafa by Mustafa, Puteri Ereena Shafira

    Published 2023
    “…Partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs) by using similarity transform variable. …”
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    Thesis
  2. 2

    Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse) by Jia, Xing Yeoh, Chuii, Khim Chong, Mohd Saberi, Mohamad, Yee, Wen Choon, Lian, En Chai, Safaai, Deris, Zuwairie, Ibrahim

    Published 2015
    “…Global optimisation is a method to identify the optimal kinetic parameter in ordinary differential equation. From the ordinary parameter of biomathematical field, there are many unknown parameters, and commonly, the parameter is in nonlinear form. …”
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    Article
  3. 3

    Application Of Genetic Algorithms For Robust Parameter Optimization by Belavendram, N.

    Published 2010
    “…In this paper, a genetic algorithm is used to study a seven factor non-linear equation for a Wheatstone bridge as the equation to be optimized. …”
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    Article
  4. 4

    Optimization of physical vapour deposition coating process parameters using genetic algorithm by Mohammad Jarrah, Mu'ath Ibrahim

    Published 2014
    “…Then, in order to optimize the coating process parameters, genetic algorithms (GAs) were used for the optimization work. …”
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    Thesis
  5. 5

    A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm by Mohd Annuar, Khalil Azha, Selamat, Nur Asmiza, Jaafar, Hazriq Izzuan, Mohamad, Syahrul Hisham

    Published 2013
    “…The cost function used in this paper is based on the Kruppa’s equation. …”
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    Conference or Workshop Item
  6. 6

    Numerical Investigations of Nano-fluid Flow in Square Porous Cavity: Buongiorno�s Mathematical Model by Zafar, M., Sakidin, H., Dzulkarnain, I., Afzal, F.

    Published 2021
    “…The governing system of partial differential equations was discretized using the finite volume method (FVM), the continuity and momentum equations were discretized using the SIMPLE algorithm, and the generated algebraic equations are solved iteratively. …”
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  7. 7
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    Identifying and estimating solar cell parameters using an enhanced slime mould algorithm by Logeswaary, Devarajah, Mohd Ashraf, Ahmad, Jui, Julakha Jahan

    Published 2024
    “…This study proposed an enhanced slime mould algorithm (ESMA) for identifying the solar cells’ parameters for five photovoltaic (PV) models, making two modifications to the original slime mould algorithm (SMA). …”
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    Article
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  10. 10

    Kinetic Parameter Estimation in Alkylation of Benzene with 1-Decene through Hybrid Particle Swarm Optimization by Mohd Zulkefle, Nurul Farihah

    Published 2012
    “…Parameter estimation was performed by varying the initial guess of PSO algorithm which will conduct global search of the parameters. …”
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    Final Year Project
  11. 11

    Standard equations for predicting the discharge coefficient of a modified high-performance side weir by Zaji, Amir Hossein, Bonakdari, Hossein, Shamshirband, Shahaboddin

    Published 2017
    “…The Particle Swarm Optimization (PSO) algorithm was used to optimize the parameters of the equations. …”
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    Article
  12. 12

    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2013
    “…The optimization of a computationally intensive algorithm such as this on a mobile platform is challenging due to the limited resources available. …”
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    Conference or Workshop Item
  13. 13

    Explicit solution of parameter estimate using multiparametric programming for boost converter by Mid, E.C., Mukhtar, N.M., Syed Yunus, S.H., Abdul Hadi, Dayanasari, Ruslan, Eliyana

    Published 2023
    “…In this method, the generalised mathematical model of the boost converter is discretised into an algebraic equation. The parameter estimation problem is then formulated and solved using Karush-Kuhn-Tucker. …”
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  14. 14

    Modelling and control of heat exchanger by using bio-inspired algorithm by Daud, Nur Atiqah

    Published 2014
    “…In this study, data from heat exchanger experiment was used to determine the parameter of ARMAX equation and by using GA and PSO, all the parameters were optimized. …”
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    Thesis
  15. 15

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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    Book
  16. 16

    Parameter estimation of stochastic differential equation by Haliza Abd. Rahman, Arifah Bahar, Norhayati Rosli, Madihah Md. Salleh

    Published 2012
    “…The results showed that the Mean Square Errors (MSE) for stochastic model with parameters estimated using optimal knot for 1,000, 5,000 and 10,000 runs of Brownian motions are smaller than the SDE models with estimated parameters using knot selected heuristically. …”
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    Article
  17. 17

    Peak pressure analysis of foot plantar distribution based on image processing algorithm by Sabry, Ali Hussein

    Published 2018
    “…The present meta-analysis of the 79 subjects showed significant outcomes through the model equations that evaluated by R² values, where 0.866 for human body weight equation, 0.602 for the age equation, and 0.308 for the foot size equation, all of them are formulated as a function of plantar pressure values. …”
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    Thesis
  18. 18

    Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm by Hussain, Azham, Surendar, A., Clementking, A., Kanagarajan, Sujith, Ilyashenko, Lubov K.

    Published 2018
    “…In the modeling of the predictive models, 79 datasets are used, so that Schmidt hammer rebound number, wave velocity, density, and Point Load Index (Is50) are selected as the independent (input) parameters and the BI values are considered as the dependent (output) parameter. …”
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    Article
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    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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    Article