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    Numerical study of suspension filtration model in porous medium with modified deposition kinetics by Fayziev, Bekzodjon, Ibragimov, Gafurjan, Khuzhayorov, Bakhtiyor, Alias, Idham Arif

    Published 2020
    “…To solve the problem, a stable, effective and simple numerical algorithm is proposed based on the finite difference method. …”
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    Support-free fused deposition modelling printing for overhangs structure by Alhamed, Abdulrahman, Mohd Romlay, Fadhlur Rahman, Muhammad, Khairul Fikri, Mohd Zawawi, Mohd Zairulnizam, Ishak, I.

    Published 2022
    “…The three-dimensional printing of overhang models without using supporting structures is useful in the current fused deposition modelling manufacturing because it allows to significantly reduce printing time and material usage. …”
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    Modeling And Optimization Of Physical Vapour Deposition Coating Process Parameters For Tin Grain Size Using Combined Genetic Algorithms With Response Surface Methodology by Mohamad Jaya, Abdul Syukor, Muhamad, Mohd Razali, Abd Rahman, Md Nizam, Mohammad Jarrah, Mu'ath Ibrahim, Hasan Basari, Abd Samad

    Published 2015
    “…Additionally,analysis of variance(ANOVA) was used to determine the significant factors influencing resultant TiN coating grain size.Based on that,a quadratic polynomial model equation was developed to represent the process variables and coating grain size.Then,in order to optimize the coating process parameters, genetic algorithms (GAs) were combined with the RSM quadratic model and used for optimization work.Finally,the models were validated using actual testing data to measure model performances in terms of residual error and prediction interval (PI).The result indicated that for RSM,the actual coating grain size of validation runs data fell within the 95% (PI) and the residual errors were less than 10 nm with very low values, the prediction accuracy of the model is 96.09%.In terms of optimization and reduction the experimental data,GAs could get the best lowest value for grain size then RSM with reduction ratio of ≈6%, ≈5%, respectively.…”
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    An approximate method for solving unsteady transitional and rarefied flow regimes in pulsed pressure chemical vapor deposition process using the quiet direct simulation method by Lim C.W., Cave H.M., Jermy M.C., Krumdieck S.P., Wu J.-S.

    Published 2023
    “…In this paper, the QDS method is used to simulate highly unsteady low pressure flows encountered in a Pulsed Pressure Chemical Vapor Deposition (PP-CVD) reactor. …”
    Conference Paper
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    Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel by Ebtehaj, I., Bonakdari, H., Khoshbin, F., Hin, Ch. Joo Bong, Ab Ghanid, A.

    Published 2017
    “…Thisstudy utilizes a novel hybrid method based on Group Method of Data Handling (GMDH)and Genetic Algorithm (GA) to design GMDH structural (GMDH-GA). …”
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    Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel by Bong, Charles Hin Joo, Isa, Ebtehajaj, Hossein, Bonakdari, Fatemeh, Khoshbin, Aminuddin, Bin Ab Ghani

    Published 2017
    “…This study utilizes a novel hybrid method based on Group Method of Data Handling (GMDH) and Genetic Algorithm (GA) to design GMDH structural (GMDH-GA). …”
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    Modelling of various meteorological effects on leakage current level for suspension type of high voltage insulators using HMLP neural network by Dahlan N.Y., Kasuan N., Ahmad A.S.

    Published 2023
    “…This paper estimates leakage current level by modeling it as a function of various meteorological parameters using Hybrid Multilayered Perceptron Networks (HMLP) with Modified Recursive Prediction Error (MRPE) learning algorithms. …”
    Conference paper
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