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    Quantitative analysis of NaCl, NaOH, and β-phenylethylamine in water using ultraviolet spectroscopy coupled with partial least squares and net analyte preprocessing by Tang, Xiaojun Tang, Tong, Angxin Tong, Zhang, Feng, Wang, Bin

    Published 2020
    “…Hence, a new quantitative analysis method, which was based on ultraviolet (UV) spectroscopy coupled with partial least squares (PLS) and net analyte preprocessing (NAP), was developed. …”
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    Article
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    Design, modeling and implementation of antennas using electromagnetic bandgap material and defected ground planes by Zainal Abidin, Zuhairah

    Published 2011
    “…In addition, a computational method combining Genetic Algorithm (GA) with surface meshing code for the analysis of a 2x2 antenna arrays on EBG was developed. …”
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    Thesis
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    Development and robust controller design for underactuated underwater glider platform for UMP lake monitoring by Mat-Noh, Maziyah, Zain, Zainah Md, Pebrianti, Dwi, Irawan, Addie, Daud, Mohd Razali

    Published 2016
    “…The prototype of the AUG has been successfully developed and test in water tank environment.…”
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    Research Report
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    A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil by Chai, Kah Chun

    Published 2021
    “…In addition, the proposed hybrid model achieved the highest correlation coefficient, higher by 27% on average compared with the benchmark models. …”
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    Thesis
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    Aerodynamic study of symmetrical and asymmetrical airfoil in varying angle of attack airflows by Sharifah Nur Nadiah Syed Yassin

    Published 2022
    “…The viscous-inviscid coupled panel method algorithm XFOIL is integrated within the graphical user interface of QBlade for the construction of custom airfoils and the computation of airfoil lift-and drag coefficient polars.…”
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    Academic Exercise
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    Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices by Oskoui, Issa Saket

    Published 2016
    “…Subsequently, using the simulation results, new regression equations are developed to model the critical period and total storage capacity of study systems individually and three systems together applying standard demand parameter, reliability and vulnerability performance measures and coefficient of variation and skewness of annual flows. …”
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    An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input–multi-output gantry crane system by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Helmi, Suid, Mohd Riduwan, Ghazali, M Osman, Tokhi

    Published 2023
    “…Recognizing this challenge, the current paper introduces a novel data-driven control scheme that relies exclusively on input and output data. Undertaking a couple of modifications to the conventional marine predators algorithm (MPA), random average marine predators algorithm (RAMPA) with tunable adaptive coefficient to control the step size (CF) has been proposed in this paper as an enhanced alternative towards fine-tuning data-driven multiple-node hormone regulation neuroendocrine-PID (MnHR-NEPID) controller parameters for the multi-input–multi-output (MIMO) gantry crane system. …”
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    Satellite based quantitative rainfall estimation for flash flood forecasting / Wardah Tahir by Tahir, Wardah

    Published 2008
    “…In addition, an example rainfall-runoff model is developed, namely the unit hydrograph technique to be linked with the satellite-based QPF to become a coupled hydro-meteorological FFWS. …”
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    Grid-based remotely sensed hydrodynamic surface runoff model using emissivity coefficient / Jurina Jaafar by Jaafar, Jurina

    Published 2015
    “…The coupled remote sensing and surface runoff model is able to calculate surface runoff with an addition of emissivity value to represent the surface roughness coefficient.…”
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    Validation of a 2D multispectral camera: Application to dermatology/cosmetology on a population covering five skin phototypes by Ahmad Fadzil, Mohd Hani

    Published 2011
    “…The multispectral system provides images of the skin reflectance at different spectral bands, coupled with a neural network-based algorithm that reconstructs a hyperspectral cube of cutaneous data from a multispectral image. …”
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    Conference or Workshop Item
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    Automated calibration of baseline model for energy conservation using multi-objective Evolutionary Programming (EP) / Ahmad Amiruddin Mohammad Aris by Mohammad Aris, Ahmad Amiruddin

    Published 2019
    “…The proposed co-simulation process is developed by coupling building energy simulation (BES) software, Energy Plus with multi-objective evolutionary programming (MOEP) algorithm which is implemented in Matlab using coupling software, BCVTB. …”
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    Thesis
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    Development of robust procedures for partial least square regression with application to near infrared spectral data by Silalahi, Divo Dharma

    Published 2021
    “…Several selection procedures of the optimal number of PLS components have been developed in this regard. However, each procedure yields different result. …”
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    Thesis
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    Novel insight into the structural requirements of P70S6K inhibition using group-based quantitative structure activity relationship (GQSAR) (GQSAR) by Abdullahi, Abubakar Danjuma, Mohammed Abdul Kader, Abdul Rahman, Abdul Samat, Nadia Hanis, Mohamed, Farahidah, Muhammad, Bala Yauri, Mohammed, Helaluddin Abul bashar, Aljarbou, Ahmed, Kasmuri, Abdul Razak

    Published 2014
    “…The dataset was then divided into a training set (n=40) and a test set (n=10) using a sphere exclusion algorithm. Multiple linear regressions coupled with simulated annealing or stepwise regression resulted in model A (r2=0.92) and model B (r2=0.87), respectively. …”
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    Article
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    Near-infrared spectroscopy modeling of combustion characteristics in chip and ground biomass from fast-growing trees and agricultural residue by Shrestha, Bijendra, Posom, Jetsada, Pornchaloempong, Pimpen, Sirisomboon, Panmanas, Shrestha, Bim Prasad, Ariffin, Hidayah

    Published 2024
    “…The optimal model was selected by evaluating the coefficients of determination in the prediction set (R2P), root mean square error of prediction (RMSEP), and RPD values. …”
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