Search Results - (( java implication based algorithm ) OR ( parameter program ((top algorithm) OR (_ algorithm)) ))

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  1. 1

    Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan by Nor Asffan, Muhammad Qayyum

    Published 2020
    “…It can function to analyse data, develop algorithms even create models and applications. In this research, MATLAB Graphical User Interface (GUI) is used to develop a user- friendly program that can predict surface roughness of Aluminium 6061 in CNC milling machine. …”
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    Student Project
  2. 2

    Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad by Mahamad, Laina Sofia

    Published 2017
    “…Thirdly, to identify best traffic model based on fitted model in developing network traffic bandwidth control algorithms. MatLab Dfittool program is used to analyze and identify the best traffic model. …”
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    Thesis
  3. 3

    Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation by Syed Zahurul Islam, Ummi Sorfina1, Boon Ching, Kok, Soomro, Dur Muhammad, Yahaya, Jabbar Al-Fatta

    Published 2023
    “…Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. …”
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    Article
  4. 4

    Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation by Sorfina, Ummi, Islam, Syed Zahurul, Kok Boon Ching, Kok Boon Ching, Soomro, Dur Muhammad, Al-Fatta Yahaya, Jabbar

    Published 2023
    “…Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. …”
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    Article
  5. 5
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    Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation by Sorfina, Ummi, Islam, Syed Zahurul, Kok Boon Ching, Kok Boon Ching, Soomro, Dur Muhammad, Yahaya, Jabbar Al-Fatta

    Published 2023
    “…Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. …”
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    Article
  7. 7

    A genetic algorithm for capital budgeting problem with fuzzy parameters by Rashidi-Bajgan, Hannaneh, Rezaeian, Javad, Nehzati, Taravatsadat, Ismail, Napsiah

    Published 2010
    “…Thereupon, a fuzzy simulation-based genetic algorithm is provided for solving chance constrained integer programming model with fuzzy parameters.…”
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    Conference or Workshop Item
  8. 8

    Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation by Ummi Sorfina, Ummi Sorfina, Syed Zahurul Islam, Syed Zahurul Islam, Kok Boon Ching, Kok Boon Ching, Dur Muhammad Soomro, Dur Muhammad Soomro, Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya

    Published 2023
    “…Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. …”
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    Article
  9. 9

    Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation by Ummi Sorfina, Ummi Sorfina, Syed Zahurul Islam, Syed Zahurul Islam, Kok Boon Ching, Kok Boon Ching, Dur Muhammad Soomro, Dur Muhammad Soomro, Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya

    Published 2023
    “…Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. …”
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    Article
  10. 10

    Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation by Ummi Sorfina, Ummi Sorfina, Syed Zahurul Islam, Syed Zahurul Islam, Kok Boon Ching, Kok Boon Ching, Dur Muhammad Soomro, Dur Muhammad Soomro, Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya

    Published 2023
    “…Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. …”
    Get full text
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    Article
  11. 11

    Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation by Ummi Sorfina, Ummi Sorfina, Syed Zahurul Islam, Syed Zahurul Islam, Kok Boon Ching, Kok Boon Ching, Dur Muhammad Soomro, Dur Muhammad Soomro, Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya

    Published 2023
    “…Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted anexperiment by spreading dry sand over the PV surface. …”
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    Article
  12. 12

    Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation by Ummi Sorfina, Ummi Sorfina, Syed Zahurul Islam, Syed Zahurul Islam, Kok Boon Ching, Kok Boon Ching, Dur Muhammad Soomro, Dur Muhammad Soomro, Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya

    Published 2023
    “…Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. …”
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    Article
  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
    “…A multiparametric programming (MPP) algorithm is fundamental to the suggested methodology, which aims to develop parameters as explicit functions of measurements. …”
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    Conference or Workshop Item
  14. 14
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    System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO) by Mohd Erwan Mazalan

    Published 2022
    “…Program system assigns user tasks to the suitable Virtual Machines in order to attain Quality of Service (QoS) parameters. …”
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    Academic Exercise
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    Control algorithm for two-tank system using multiparametric programming by Zakaria, A., Mid, E.C., Mohamed, M.F., Hussin, M.H.M., Shaari, A.S., Ruslan, Eliyana, Hadi, Dayanasari, Masri, M.

    Published 2023
    “…This study proposes a control algorithm for a two-tank system based on multiparametric programming. …”
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    Conference or Workshop Item
  18. 18

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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    Thesis
  19. 19

    Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Alzaeemi, Shehab Abdulhabib, Tay, Kim Gaik, Huong, Audrey, Sathasivam, Saratha, Majahar Ali, Majid Khan

    Published 2023
    “…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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    Article
  20. 20

    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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    Article