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  1. 1

    Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index by Verayiah R., Mohamed A., Shareef H., Abidin I.H.Z.

    Published 2023
    “…Electric power plant loads; Learning algorithms; MATLAB; Multiobjective optimization; Optimization; Reactive power; Back tracking; Backtracking search algorithms; Identification method; Load-shedding; Multi-objective functions; Power flow simulation; System contingencies; Under voltage load shedding; Electric load shedding…”
    Conference Paper
  2. 2

    Bio-signal identification using simple growing RBF-network (OLACA) by Asirvadam , Vijanth Sagayan, McLoone, Sean, Palaniappan, R

    Published 2007
    “…An enhanced online adaptive centre allocation algorithms (or resource allocation network (RAN)) using simple/stochastic back-propagation method with minimal weight update variant are developed for direct-link radial basis function (DRBF) networks. …”
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    Conference or Workshop Item
  3. 3

    Normalized SPSA for Hammerstein model identification of twin rotor and electro-mechanical positioning systems by Nik Mohd Zaitul Akmal, Mustapha, Mohd Ashraf, Ahmad

    Published 2025
    “…These findings demonstrate that the N-SPSA provides a fast and precise solution for the identification of continuous-time Hammerstein systems, overcoming the limitations of existing methods.…”
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    Article
  4. 4

    New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz by Ab. Aziz, Nur Fadilah

    Published 2014
    “…In addition, a new method to detect weak areas in a system termed as Weak Area Clustering Margin (WACM) was also developed. …”
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    Thesis
  5. 5

    Fault classification in smart distribution network using support vector machine by Chuan O.W., Ab Aziz N.F., Yasin Z.M., Salim N.A., Wahab N.A.

    Published 2023
    “…Gaussian radial basis function (RBF) kernel function has been used for training of SVM to accomplish the most optimized classifier. …”
    Article
  6. 6

    Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus by Darus, Zamzuhairi

    Published 2003
    “…Voltage stability problems have been one of the major concerns for electric utilities as a result of a system heavy loading. This project proposed on an investigation on the voltage stability margin identification using evolution programming learning algorithm. …”
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    Thesis
  7. 7

    Hybrid intelligent methods for parameter identification and load frequency control in power system by Aqeel Sakhy, Jaber

    Published 2014
    “…For example, the classical methods for parameter identification (LSE and MLE), the classical methods for LFC (PI, PD and PID) and the intelligent methods (fuzzy logic, neural network, genetic algorithm, and PSO). …”
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    Thesis
  8. 8

    IRFOC induction motor with rotor time constant estimation modelling and simulation by Radwan, E., Mariun, N., Aris, I., Bash, S. M., Yatim, Abdul Halim Mohamad

    Published 2005
    “…Purpose– To provide a new and simple inverse rotor time constant identification method which can be used to update an indirect rotor field oriented controlled (IRFOC) induction motor algorithm.Design/methodology/approach– Two different equations are used to estimate the rotor flux in the stator reference frame. …”
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    Article
  9. 9

    Pid-aco vibration controller with magnetorheological damper for wind turbine tower / Mahmudur Rahman by Mahmudur , Rahman

    Published 2019
    “…At first, appropriate dynamic model is estimated using finite difference method (FDM) and system identification process. …”
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    Thesis
  10. 10

    Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi by Hanapi, Suhadiyana

    Published 2018
    “…Secondly, in this research, an empirical dynamic model of the PEM fuel cell system in vehicles was analyzed and validated using the system identification method……”
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    Book Section
  11. 11

    Optimal parameter estimation of permanent magnet synchronous motor by using Mothflame optimization algorithm / Abdolmajid Dejamkhooy and Sajjad Asefi by Dejamkhooy, Abdolmajid, Asefi, Sajjad

    Published 2018
    “…In the next step, the parameter identification as an optimization problem is solved by Moth-flame optimization, which is a novel nature-inspired heuristic algorithm. …”
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    Article
  12. 12

    CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING by ISLAM, BADAR UL ISLAM

    Published 2017
    “…Precise short term load forecast (STLF) is vitally important for the secure and reliable operation of power systems. …”
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    Thesis
  13. 13

    Inverse parameter identification of elastic and inelastic constitutive material models by Hrairi, Meftah

    Published 2011
    “…This numerical tool combines an optimization algorithm with a finite element solver giving the material response to arbitrary loading. …”
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    Book Chapter
  14. 14

    Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield by Shahrim, Muhamad Azim, Harmin, Mohammad Yazdi, Romli, Fairuz Izzuddin, Chia, Chen Ciang, Jung-Ryul, Lee

    Published 2022
    “…Then, generation of frequency map based on ultrasound spectral imaging (USI) for damage identification is investigated. Last but not least, the comparison of accuracy between frequency analysis algorithm and variable time window amplitude mapping (VTWAM) algorithm is performed. …”
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    Article
  15. 15

    Computationally efficient sequential learning algorithms for direct link resource-allocating networks by Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George W

    Published 2005
    “…The new algorithms, which also incorporate a pruning strategy to control network growth, are evaluated on three different system identification benchmark problems and shown to outperform existing methods both in terms of training error convergence and computational efficiency.…”
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    Article
  16. 16

    RLF and TS fuzzy model identification of indoor thermal comfort based on PMV/PPD by Homod R.Z., Mohamed Sahari K.S., Almurib H.A.F., Nagi F.H.

    Published 2023
    “…This modeling is achieved using a Takagi-Sugeno (TS) fuzzy model and tuned by Gauss-Newton method for nonlinear regression (GNMNR) algorithm. …”
    Article
  17. 17

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…In parallel, the automated performance and manual delineation for WMH identification is validated to determine the degree of similarity between both the methods. …”
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    Book Section
  18. 18

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…In parallel, the automated performance and manual delineation for WMH identification is validated to determine the degree of similarity between both the methods. …”
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    Thesis
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  20. 20

    Damage detection in frame structures using noisy accelerometers and Damage Load Vectors (DLV) by Toloue, I., Liew, M.S., Hamonangan Harahap, I.S., Lee, H.E.

    Published 2020
    “…Damage Load Vectors (DLV) is among the most powerful methods, which computes a set of load vectors from variations in exibility matrices of a frame in undamaged and damaged conditions. …”
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    Article