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  1. 1

    Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations by Cheah, Jun Hwa, Roldan, Jose L., Ciavolino, Enrico, Ting, Hiram, Ramayah, T.

    Published 2020
    “…Addressing this concern, the present paper offers guidelines for using the weighted PLS-SEM (WPLS-SEM) algorithm to apply sampling weights in the model estimation. …”
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    Article
  2. 2

    MULTIVARIABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD by MOHAMED OSMAN, MOHAMED ABDELRAHIM

    Published 2017
    “…In this research. novel algorithms have been developed to: (I) isolate the less interacting channe Is using a modified partial correlation algorithm. (2) achieve unbiased and consistent parameter estimates using an iterative LLMS algorithm and (3) develop parsimonious models for closed-loop MIMO systems. …”
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    Thesis
  3. 3

    Fault localization on power cables using time delay estimation of partial discharge signals by Chin, Kui Fern, Chai, Chang Yii, Asfarina Abu Bakar, Ismail Saad, Kenneth Teo Tze Kin, Megat Muhammad Ikhsan Megat Hasnan, Nur Aqilah Mohamad

    Published 2023
    “…The researchers employ the time difference of arrival (TDoA) algorithm to compute PD location using the double-end PD location algorithm, where the PD location precision serves as an indicator of the accuracy of the time delay estimation methods. …”
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    Article
  4. 4

    Single-trial visual evoked potential extraction using partial least-squares-based approach by Yanti, D.K., Yusoff, M.Z., Asirvadam, V.S.

    Published 2016
    “…The PLS algorithm gives the best estimate to multitrial ensemble averaging. …”
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    Article
  5. 5

    Single-trial visual evoked potential extraction using partial least-squares-based approach by Yanti, D.K., Yusoff, M.Z., Asirvadam, V.S.

    Published 2016
    “…The PLS algorithm gives the best estimate to multitrial ensemble averaging. …”
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    Article
  6. 6

    Application of artificial neural network genetic algorithm in inferential estimation and control of a distillation column by Chen, Wah Sit

    Published 2005
    “…Adaptation of network weights using Genetic Algorithm (GA) was proposed as a mechanism to improve the performance of Artificial Neural Network (ANN) inferential estimator. …”
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    Thesis
  7. 7
  8. 8

    The use of a partially simulated exothermic reactor to test nonlinear algorithms by Hussain, Mohd Azlan, Kittisupakorn, Paisan, Kershenbaum, L.

    Published 2000
    “…For this reason, a relatively low cost and simple online experimental configuration of a partially simulated continuous reactor has been devised which allows for the realistic testing of a wide range of nonlinear estimation and control techniques i.e. receding horizon control and neural network inverse model control methods. …”
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    Article
  9. 9

    Modelling and estimation of vehicle tracking using and improved particle filter by Khong, Wei Leong

    Published 2013
    “…Based on the nature of the genetic algorithm, a better estimation of position of the target vehicle can be obtained by recombining the information between the particles. …”
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    Thesis
  10. 10

    Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation by Mirza Rizwan, Sajid, Noryanti, Muhammad, Roslinazairimah, Zakaria, Shahbaz, Ahmad, Nauman, Ahmad

    Published 2020
    “…The information on demographic, SE, modifiable and clinical factors of CVDs was recorded. Warp partial least squares (PLS) based on warp 3 algorithm was used to estimate the simultaneous linear and non-linear path coefficients of the proposed model of study. …”
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    Article
  11. 11

    Enhancement of Harmonic State Estimation Using Harmonic Prediction by Mohd Nor, Nursyarizal, Asirvadam , Vijanth Sagayan, Abdullah, M. F., M. M. Alhaj, Hussam

    Published 2012
    “…The world wide increasing using nonlinear loads, mostly consisting of power electronics devices in many applications that bring a great concern about power quality problems caused by these nonlinear loads, harmonics pollution is main concern of power quality issues due to its harmful effect on power system network, several harmonic state estimation “H.S.E” methods have been devolved to estimate the harmonic magnitude level and to identify the harmonic sources ,This paper presents a concept, method and function of harmonic state estimation and implementation of the singular value decomposition “S.V.D” algorithm on power system harmonic state estimation for partially observable systems with harmonic prediction method to compensate the loss of the observation and maintain the redundancy of the measurements. …”
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    Non-Citation Index Journal
  12. 12

    Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network by Md Akib, Afif, Saad, Nordin, Asirvadam, Vijanth

    Published 2011
    “…A new learning algorithm called the ensemble dual algorithm for estimating the mass-flow rate of the flow after leakage is proposed. …”
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    Book Section
  13. 13

    Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm by Seyedmahmoudian, Mehdi, Tey, Kok Soon, Jamei, Elmira, Thirunavukkarasu, Gokul, Horan, Ben, Mekhilef, Saad, Stojcevski, Alex

    Published 2018
    “…This study aims at investigating the use of the bat algorithm (BA), a nature-inspired metaheuristic algorithm for MPP tracking (MPPT) subjected to PS conditions. …”
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    Article
  14. 14

    Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method by Ramachandran, Murugan, Sundaram, Arunachalam, Ridha, Hussein Mohammed, Mirjalili, Seyedali

    Published 2024
    “…A reliable methodology is essential for accurately estimating the parameters of PV models, enabling reliable performance evaluations, effective control studies, accurate analysis of partial shading effects, and optimal optimization of Photovoltaic (PV) systems. …”
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    Article
  15. 15

    Target tracking using color based particle filter by Mukhtar, A., Xia, L.

    Published 2014
    “…Furthermore, background subtraction has been used for size estimation of target. The qualitative evaluation of proposed algorithm is performed on several real world videos. …”
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    Conference or Workshop Item
  16. 16

    Human upper body pose region estimation by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Shafie, Amir Akramin, Salami, Momoh Jimoh Eyiomika

    Published 2013
    “…(b) Scaling the extracted parts during body orientation was attained using partial estimation of face size. The outcome of the system makes it applicable for real-time applications such as sign languages recognition systems. …”
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    Book Chapter
  17. 17

    Enhanced Adaptive Confidence-Based Q Routing Algorithms For Network Traffic by Yap, Soon Teck

    Published 2004
    “…In CQ Routing Algorithm, the confidence value (C value) can be used to improve the quality of exploration in Q Routing Algorithm. …”
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    Thesis
  18. 18

    Acoustic emission partial discharge localization in oil based on artificial bee colony by Lim, Zhi Yang, Azis, Norhafiz, Mohd Hashim, Ahmad Hafiz, Mohd Radzi, Mohd Amran, Norsahperi, Nor Mohd Haziq, Mohd Ariffin, Azrul

    Published 2025
    “…After 500 iterations, the optimal solution was the estimated PD location produced by ABC. Comparisons with the genetic algorithm (GA), particle swarm optimization (PSO) and bat algorithm (BA) revealed that the distance error, maximum deviation and computation time for AE PD localization based on ABC are the lowest. …”
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    Article
  19. 19

    Artificial intelligence modelling approach for the prediction of CO-rich hydrogen production rate from methane dry reforming by Ayodele B.V., Mustapa S.I., Alsaffar M.A., Cheng C.K.

    Published 2023
    “…The best prediction was, however, obtained using the Bayesian regularization algorithm with the lowest standard error of estimates (SEE). …”
    Article
  20. 20

    Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing by Leong, S.H., Ong, S.H.

    Published 2017
    “…The local image features, represented by maximum likelihood estimates of the mixture components, are classified by using the modified Bayes factor (MBF) as a similarity measure. …”
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    Article