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  1. 1
    Composing multi-relations association rules from crowdsourcing remuneration data

    Composing multi-relations association rules from crowdsourcing remuneration data by Siti Salwa Salleh, Nurhayati Zakaria, Norjansalika Janom, Syaripah Ruzaini Syed Aris, Noor Habibah Arshad

    Published 2022
    “…To gain a more understandable insight, the data relationship is visualised using an alluvial chart that manages to illustrate the flow. …”
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  2. 2
    Numerical study of suspension filtration model in porous medium with modified deposition kinetics

    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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  3. 3
    Support-free fused deposition modelling printing for overhangs structure

    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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  4. 4
    Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space

    Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space by Annisa, Jamali, Sheldon Ijau, Winston

    Published 2022
    “…In this study, an axis manipulation using a geometrical approach is used. Initially, a general algorithm for a 2-m-link hyper-redundant robot in 3D is generated. …”
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  5. 5
    Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems

    Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems by Yasear, Shaymah Akram

    Published 2020
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  6. 6
    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification

    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

    Published 2023
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  7. 7
    Scavenging carbon deposition on alumina supported cobalt catalyst during renewable hydrogen-rich syngas production by methane dry reforming using artificial intelligence modeling technique

    Scavenging carbon deposition on alumina supported cobalt catalyst during renewable hydrogen-rich syngas production by methane dry reforming using artificial intelligence modeling t... by Alsaffar M.A., Ayodele B.V., Mustapa S.I.

    Published 2023
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  8. 8
    The improvement of Item-based collaborative filtering algorithm in recommendation system using similarity index

    The improvement of Item-based collaborative filtering algorithm in recommendation system using similarity index by Yao, Ma

    Published 2022
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  9. 9
    The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization

    The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization by Abbaszadeh M., Ehteram M., Ahmed A.N., Singh V.P., Elshafie A.

    Published 2023
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  10. 10
    Classification for large number of variables with two imbalanced groups

    Classification for large number of variables with two imbalanced groups by Ahmad Hakiim, Jamaluddin

    Published 2020
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  11. 11
    An adaptive ant colony optimization algorithm for rule-based classification

    An adaptive ant colony optimization algorithm for rule-based classification by Al-Behadili, Hayder Naser Khraibet

    Published 2020
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  12. 12
    Modeling And Optimization Of Physical Vapour Deposition Coating Process Parameters For Tin Grain Size Using Combined Genetic Algorithms With Response Surface Methodology

    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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  13. 13
    An approximate method for solving unsteady transitional and rarefied flow regimes in pulsed pressure chemical vapor deposition process using the quiet direct simulation method

    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. …”
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  14. 14
    Development of drift conversion algorithm for ISFET based pH sensor for continuous measurement system

    Development of drift conversion algorithm for ISFET based pH sensor for continuous measurement system by Othman, Md Rizal, Najib, Muhammad Sharfi, Muda, Razali, Sulaiman, Mohd Herwan, Noordin, Nurul Hazlina, Hadi, Amran Abdul, Kamaludin, Mohamad Yusof, Mohd Ismahad, Syono

    Published 2018
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  15. 15
    Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

    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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  16. 16
    Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream

    Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream by Abdulateef, Alaa Fareed

    Published 2023
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  17. 17
    Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

    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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  18. 18
    Computational dynamic support model for social support assignments around stressed individuals among graduate students

    Computational dynamic support model for social support assignments around stressed individuals among graduate students by Al-Shorman, Roqia Rateb

    Published 2020
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  19. 19
    Modelling of various meteorological effects on leakage current level for suspension type of high voltage insulators using HMLP neural network

    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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  20. 20
    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu

    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu by Yusnita, Muhamad Noor

    Published 2018
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