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  1. 1
    Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control

    Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control by Mohd Hanafi, Muhammad Sidik

    Published 2020
    “…This method would be a control method to activate power assist system and selected based on conditions set in the algorithm. …”
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  2. 2
    Sensitivity-based fuzzy multi-objective portfolio model with Value-at-Risk

    Sensitivity-based fuzzy multi-objective portfolio model with Value-at-Risk by Zhang, H., Watada, J., Wang, B.

    Published 2019
    “…In addition, compared with the VaR-FMOPSM model, our sensitivity-based improved model with the IPSO algorithm also performs better than Genetic Algorithm and Simulate Anneal Algorithm (SA), it provides the same performance on this point. …”
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  3. 3
    Development of a rule-based fault diagnostic advisory system for precut fractionation column

    Development of a rule-based fault diagnostic advisory system for precut fractionation column by Heng, Han Yann

    Published 2005
    “…The advisory system algorithm used process history based method and presented by rule-based approach. …”
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  4. 4
    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh

    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
    “…The performance of DE algorithm depends heavily on the selected mutation strategy and its associated control parameters. …”
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  5. 5
    Shapeable Maximum-Power Point-Tracking Algorithm To Improve The Stability Of The Output Behavior Of A Thermoelectric-Solar Hybrid Energy-Harvesting System

    Shapeable Maximum-Power Point-Tracking Algorithm To Improve The Stability Of The Output Behavior Of A Thermoelectric-Solar Hybrid Energy-Harvesting System by Md Yusop, Azdiana, Mohamed, Ramizi, Ayob, Afida, Mohamed, Azah

    Published 2017
    “…This study presents the development of a novel maximum-power point-tracking (MPPT)method based on an input shaping scheme controller.The proposed method that changes the initial input response into a shapeable MPPT algorithm is designed based on an exponential input function.This type of input function is selected because of its capability to stabilize the system at the end of the simulation time and remain at the same condition at the final response time.A comparison of the system with the proposed method and the system with traditional perturb and observe (PnO)method is also provided.Results show that the system with the proposed method produces higher output power than the system with PnO method;the difference is approximately 15.45%.Results reveal that the exponential function input shaper allows the overall output system to exhibit satisfactory behavior and can efficiently track the maximum output power.…”
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  6. 6
    Particle swarm optimization for NARX structure selection: application on DC motor model / Mohd Ikhwan Abdullah

    Particle swarm optimization for NARX structure selection: application on DC motor model / Mohd Ikhwan Abdullah by Abdullah, Mohd Ikhwan

    Published 2010
    “…The findings indicate that the BPSO-based selection method has the potential to become an excellent and effective method to determine parsimonious NARX model structure in the system identification model. …”
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  7. 7
    Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm

    Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm by Mohd Riduwan, Ghazali

    Published 2020
    “…Besides, the MnHR-NEPID controller achieved control accuracy improvement of 5.7% and 5.1% for the container gantry crane and TRMS systems, respectively. The ASED-based method significantly improved the SED method’s accuracy by using adaptive terms based on changing the objective function in the updated procedure. …”
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  8. 8
    A New Technique To Design Coating Structure For Energy Saving Glass Using The Genetic Algorithm

    A New Technique To Design Coating Structure For Energy Saving Glass Using The Genetic Algorithm by Azmin, Farah Ayuni

    Published 2017
    “…Genetic algorithm is a method which is easily transferred to the existing simulations and models. …”
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  9. 9
    On some methods of feature engineering useful for craniodental morphometrics of rats, shrews and kangaroos / Aneesha Pillay Balachandran Pillay

    On some methods of feature engineering useful for craniodental morphometrics of rats, shrews and kangaroos / Aneesha Pillay Balachandran Pillay by Aneesha Pillay , Balachandran Pillay

    Published 2024
    “…A comparative study based on machine learning algorithms was also conducted by using all features and the RFE-selected features to classify the R. rattus sample based on the age groups. …”
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  10. 10
    Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad

    Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad by Ja’far Saifeddin , Abdelhafiz Jallad

    Published 2018
    “…A metaheuristic algorithm in the UFLS scheme can be used to select the best load combination in real time. …”
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  11. 11
    Fault location identification in power transmission networks: using novel nonintrusive fault-monitoring systems

    Fault location identification in power transmission networks: using novel nonintrusive fault-monitoring systems by Chang, Hsueh-Hsien, Yang, Chuan Choong, Lee, Wei-Jen

    Published 2021
    “…This article proposes a novel fault-localization method that is based on the nonintrusive fault-monitoring (NIFM) techniques in high-voltage/extra-high-voltage (HV/EHV) power transmission networks. …”
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  12. 12
    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques

    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques by Farhan, Farhan Abdel-Fattah Ahmad

    Published 2011
    “…In machine learning algorithm, choosing the most relevant features for each attack is a very important requirement, especially in mobile ad hoc networks where the network topology dynamically changes. …”
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  13. 13
    Development of dynamic programming algorithm for maintenance scheduling problem

    Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

    Published 2020
    “…The objectives of this research are to develop a dynamic programming algorithm for the maintenance scheduling problem that can deal with the uncertainty and to determine the optimum maintenance schedule that will change according to the uncertainty that happened. …”
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  14. 14
    Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki

    Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki by Mahmoud, Khaki

    Published 2014
    “…The Wenner array was selected because of its sensitivity in detecting vertical changes in subsurface resistivity. …”
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  15. 15
    Novel modulation method for multi directional matrix converter

    Novel modulation method for multi directional matrix converter by Toosi, Saman, Misron, Norhisam, Hanamoto, Tsuyoshi, Aris, Ishak, Mohd Radzi, Mohd Amran, Yamada, Hiroaki

    Published 2014
    “…This paper also derived necessary equation for proposed modulation method as well as detail of analysis and modulation algorithm. …”
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  16. 16
    Finite Element Modeling Of Ballistic Penetration into Fabric Armor

    Finite Element Modeling Of Ballistic Penetration into Fabric Armor by Talebi, Hossein

    Published 2006
    “…This program (named DYNTEX) based on the mentioned algorithm is designed using MATLAB code. …”
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  17. 17
    Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems

    Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems by Chang, Hsueh-Hsien, Yang, Chuan Choong, Lee, Wei-Jen

    Published 2020
    “…This paper proposes a novel fault localization method that is based on the non-intrusive fault monitoring (NIFM) techniques in high-voltage/extra-high-voltage (HV/EHV) power transmission networks. …”
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  18. 18
    Neural network based adaptive pid controller for shell-and-tube heat exchanger

    Neural network based adaptive pid controller for shell-and-tube heat exchanger by Othman, Mohamad Hakimi

    Published 2019
    “…Dynamic time series neural network model was used together with Levenberg-Marquardt algorithm as the training method. Single hidden layer feed forward neural networks with 20 neurons in hidden layer was selected. …”
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  19. 19
    Neural network based adaptive pid controller for shell-and-tube heat exchanger: article

    Neural network based adaptive pid controller for shell-and-tube heat exchanger: article by Othman, Mohamad Hakimi

    Published 2019
    “…Dynamic time series neural network model was used together with Levenberg-Marquardt algorithm as the training method. Single hidden layer feed forward neural networks with 20 neurons in hidden layer was selected. …”
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  20. 20
    Optimization of operational policies for the Minab Reservoir, Southern Iran

    Optimization of operational policies for the Minab Reservoir, Southern Iran by Gholampoor, Mohammad

    Published 2012
    “…These severe stresses could not be addressed by the reservoir management through the standard operation policy method. The operation policy should be changed to consider the drought period conditions. …”
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