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  1. 1
    Extraction of photovoltaic module model's parameters using an improved hybrid differential evolution/electromagnetism-like algorithm

    Extraction of photovoltaic module model's parameters using an improved hybrid differential evolution/electromagnetism-like algorithm by Muhsen D.H., Ghazali A.B., Khatib T., Abed I.A.

    Published 2023
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  2. 2
    Characterization of PV panel and global optimization of its model parameters using genetic algorithm

    Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

    Published 2023
    “…The Matlab-Simulink environment is used to simulate the operation of the PV module, depending on the extracted parameters. …”
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  3. 3
    Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA

    Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA by Javed, E., Faye, I., Malik, A.S., Abdullah, J.M.

    Published 2017
    “…From the simulated data, the similarity index between the extracted BCG and the simulated BCG showed the effectiveness of the proposed method in BCG removal. …”
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  4. 4
    Parameter extraction of solar photovoltaic modules using penalty-based differential evolution

    Parameter extraction of solar photovoltaic modules using penalty-based differential evolution by Ishaque, K., Salam, Z., Mekhilef, Saad, Shamsudin, A.

    Published 2012
    “…The two diode model of a solar cell is used as the basis for the extraction problem. The analyses carried out using synthetic current-voltage (I-V) data set showed that the proposed P-DE outperforms other Evolutionary Algorithm methods, namely the simulated annealing (SA), genetic algorithm (GA), and particle swarm optimization (PSO). …”
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  5. 5
    Modal extraction accuracy using Single Station Time Domain (SSTD) techniques / A. F. Ghazali and A. A. Mat Isa

    Modal extraction accuracy using Single Station Time Domain (SSTD) techniques / A. F. Ghazali and A. A. Mat Isa by Ghazali, A. F., Mat Isa, A. A.

    Published 2012
    “…Single Station Time Domain (SSTD) technique is one of the efficient methods used to extract modal parameters. This technique relies on free decay responses to obtain the required parameters. …”
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  6. 6
    Taguchi's method for optimized neural network based autoreclosure in extra high voltage lines

    Taguchi's method for optimized neural network based autoreclosure in extra high voltage lines by K.S.R., Rao, Z.F., Desta

    Published 2008
    “…The algorithms are developed using MATLABTM software. A range of faults are simulated using SimPowerSytemsTM and the spectra of the fault data are analyzed using Fast Fourier Transform which facilitates extraction of distinct features of each fault type. …”
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  7. 7
    An improvement of back propagation algorithm using halley third order optimisation method for classification problems

    An improvement of back propagation algorithm using halley third order optimisation method for classification problems by Abdul Hamid, Norhamreeza

    Published 2020
    “…This algorithm utilises first order optimisation method namely Gradient Descent (GD) method which attempts to minimise the error of network. …”
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  8. 8
    Characterization of PV panel and global optimization of its model parameters using genetic algorithm

    Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail, M.S., Moghavvemi, Mahmoud, Mahlia, T.M.I.

    Published 2013
    “…The Matlab-Simulink environment is used to simulate the operation of the PV module, depending on the extracted parameters. …”
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  9. 9
    Voltage Variation Analysis By Using Gabor Transform

    Voltage Variation Analysis By Using Gabor Transform by Abdullah, Abdul Rahim, Tee, Wei Hown, Yusoff, Mohd Rahimi

    Published 2019
    “…The voltage variation signals are successfully detected by using the K-Nearest Neighbors (kNN) algorithm with the implementation of signal parameters extracted as the input on the classifier. …”
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  10. 10
    Optimal selection of long time acoustic features using GA for the assessment of vocal fold disorders

    Optimal selection of long time acoustic features using GA for the assessment of vocal fold disorders by Sindhu, Ravindran, Neoh, Siew Chin, Dr., Muthusamy, Hariharan, Dr.

    Published 2013
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  11. 11
    Finite Element Modeling Of Ballistic Penetration into Fabric Armor

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

    Published 2006
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  12. 12
    Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun

    Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun by Chong , Kai Lun

    Published 2021
    “…The proposed method involves using a convolutional neural network (CNN) with a feature extraction ability to learn from the hydrological dataset efficiently. …”
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  13. 13
    Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System

    Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System by Jye Yun, Fam, Shen Yuong, Wong, Hazrul, Mohamed Basri, Mohammad Omar, Abdullah, Kasumawati, Lias, Saad, Mekhilef

    Published 2021
    “…All simulations were performed using MATLAB software to show the power characteristics extracted from the PEMFC system. …”
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  14. 14
    Adaptive Step Size Based Hill-Climb Search Algorithm for MPPT Control of DFIG-WECS With Reduced Power Fluctuation and Improved Tracking Performance

    Adaptive Step Size Based Hill-Climb Search Algorithm for MPPT Control of DFIG-WECS With Reduced Power Fluctuation and Improved Tracking Performance by Uddin M.N., Amin I.K.

    Published 2023
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  15. 15
    An approach of filtering to select IMFs of EEMD in signal processing for acoustic emission AE sensors

    An approach of filtering to select IMFs of EEMD in signal processing for acoustic emission AE sensors by Mohd Jaafar, N.S., Aziz, I.A., Jaafar, J., Mahmood, A.K.

    Published 2019
    “…Number of existing signal processing methods can be used for extracting useful information. …”
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  16. 16
    An approach of filtering to select IMFs of EEMD in signal processing for acoustic emission AE sensors

    An approach of filtering to select IMFs of EEMD in signal processing for acoustic emission AE sensors by Mohd Jaafar, N.S., Aziz, I.A., Jaafar, J., Mahmood, A.K.

    Published 2019
    “…Number of existing signal processing methods can be used for extracting useful information. …”
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  17. 17
    ECG noise reduction technique using antlion (ALO) algorithm for heart rate monitoring devices

    ECG noise reduction technique using antlion (ALO) algorithm for heart rate monitoring devices by Hii, Kiew Hui

    Published 2020
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  18. 18
    A New Intelligent Autoreclosing Scheme Using Artificial Neural Network and Taguchi's Methodology

    A New Intelligent Autoreclosing Scheme Using Artificial Neural Network and Taguchi's Methodology by K.S.R., Rao, Fitiwi, Desta Zahlay, Ibrahim, Taib

    Published 2010
    “…FFT and Prony analysis methods are employed to extract data features from each simulated fault. …”
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  19. 19
    PSO modelling and PID controlled of automatic fish feeder system

    PSO modelling and PID controlled of automatic fish feeder system by W Mahmud, Wan Muhammad Azlan

    Published 2020
    “…The main objective of this study is to improve the performance of fish feeding system by using PID controller through ARX modelling. In this study, raw data at distribution part with speed of 130 rpm, 160 rpm, 190 rpm, 220 rpm and 250 rpm were extracted and used to determine ARX equation parameters as transfer function by using PSO algorithm to optimize ARX model parameter. …”
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  20. 20
    Obso based fractional pid for mppt-pitch control of wind turbine systems

    Obso based fractional pid for mppt-pitch control of wind turbine systems by Mehedi, I.M., Al-Saggaf, U.M., Vellingiri, M.T., Milyani, A.H., Saad, N.B., Yahaya, N.Z.B.

    Published 2022
    “…The OBSO algorithm is derived from the integration of oppositional based learning (OBL) concept with the traditional BSO algorithm in order to improve the convergence rate, which is then applied to effectively choose the parameters involved in the FOPID controller. …”
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