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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
Published 2020“…Therefore, UV spectroscopy coupled with PLS models and NAP algorithm can be considered as an effective method to determine the concentration of NaCl, NaOH and PEA in the natural water…”
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Disposable Biomimetic Array Sensor Strip Coupled With Chemometric Algorithm For Quality Assessment Of Orthosiphon Stamineus Benth Samples
Published 2006“…Comparison between the PLS and PCR models presented in the quantitative analysis showed that PLS have substantially better predictive capability than PCR and the results obtained were in good correlation with the results given by the HPTLC method.…”
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Quantitative analysis of Orthosiphon stamineus benth with a disposable sensor trip
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Development of robust procedures for partial least square regression with application to near infrared spectral data
Published 2021“…Hence, a Robust Reliable Weighted Average (RRWA-PLS) which does not require the selection of an optimal number of PLS is developed by employing the weighted average strategy from multiple PLSR models generated by different complexity of the PLS components. …”
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Long-term optimal planning for renewable based distributed generators and plug-in electric vehicles parking lots toward higher penetration of green energy technology
Published 2025“…A critical element of this transition is the development of efficient infrastructure for plug-in electric vehicle parking lots (PEV-PLs). …”
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Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months
Published 2024“…Next, joint distri bution adaptation based partial least square (JDA-PLS) and transfer component analysis based PLS (TCA-PLS) were implemented to establish NIRS predictive models of moisture, hydroxymethylfurfural (HMF), and glucose quality. …”
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Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach
Published 2016“…A Warp partial least square-structural equation modeling (PLS-SEM) software algorithm was used for the analysis of collected data. …”
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Detection of butter adulteration with lard by employing 1H-NMR spectroscopy and multivariate data analysis
Published 2014“…The spectroscopic data of butter adulterated with lard samples were chemometrically evaluated and calibrated using the partial least square (PLS) algorithm. The multivariate calibration of PLS model for the prediction of adulterant was developed for quantitative measurement. …”
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Transferring near infrared spectroscopic calibration model across different harvested seasons using joint distribution adaptation
Published 2022“…After that, a calibration model was developed by means of Partial Least Squares (PLS) using the transformed training dataset; and validated using the trans�formed independent testing dataset. …”
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Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis
Published 2024“…Using CARS algorithm resulted in the selection of 21 optimal wavelengths that are highly associated with the moisture content of glutinous rice during the drying process and the developed PLS model based on the selected wavelength gave an increased model accuracy with R2CV and RMSECV of 0.9176 and 1.0986 respectively. …”
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Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent
Published 2015“…This study attempts to provide a better classification of water quality that is of accurate representation of the actual health of river water and is achieved by applying existing water quality evaluation method used in our country, namely DOE-WQI and average NWQS as well as a newly developed model based on Partial Least Squares (PLS) regression and the guideline of NWQS, called PLS-WQI in the indexing process. …”
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Hybrid Model for Production Plan
Published 2014“…The HM is involving the Simulation Model (SM), Multi-Objectives Model (MOM), and Genetic Algorithm (GA) system. …”
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Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended techno...
Published 2024“…This dataset stands among the pioneering efforts to assess the novel covariance-based structural equation model algorithm within SmartPLS 4, presenting a valuable resource for future research employing the same mechanism.…”
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Let’s collaborate’: Malaysian TVET-engineering institution and industry partnership
Published 2022“…At the end of the analysis, the model that has been developed is relevant to use because each phase meets the conditions that have been set in the PLS-SEM analysis. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility
Published 2024“…Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to examine the relationships between variables. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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An integrated model for production line balancing planning
Published 2012“…Furthermore,the Simulation Model(SM)is used to solve the PLP problem to achieve the customer order by increasing the quantity of production.The new approach is called Hybrid Model of the Production Line (HMPL) which is a combination of MOM,GA,and SM.This approach is employed to solve the production line problems and to develop the efficiency of the production line.As a result,the Mixed Model(MM)that combines the MOM and GA is developed to solve the PLBP and efficiency of the Production Line System(PLS)in order to reduce the queuing and the idle time to obtain the best balance among the stations.Also the MM is applied to PLS to re-regulate the tasks'number and re-distribute the jobs to the workers among the stations in order to obtain the optimum solution.On the other hand,the SM is applied to solve the planning problem to make new plans then to make several strategies to solve the PLP problem and to achieve the customer orders.The aim of this study is to combine MM and SM to develop the efficiency of the production line and to solve both problems by using the output of MM as an input for SM and vice versa.This is a new method to obtain the best or the optimum balance among the stations and also between the quantity of customers demand and the production quantity.The method increased the ratio of production and reduced the queuing and idle time by minimizing the queuing and idle time and maximizing the productions,as well as balancing the tasks’number and distributing the jobs to the workers evenly.…”
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Determinants factors of biotechnology commercialization in Malaysia: resource-based view perspective / Nur Hidayat Nordin
Published 2023“…A structure path modeling has been designed based on these constructs by relating it to commercialization success using the PLS algorithm and bootstrapping method. …”
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