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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.

“…The results of the WPLS algorithm and the traditional PLS algorithm are then compared using a marketing research model. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224) by Mahat, Nor Idayu, Engku Abu Bakar, Engku Muhammad Nazri, Zakaria, Ammar, Mohd Nazir, Mohd Amril Nurman, Misiran, Masnita

“…Then, the weights are used together with either Principal Component Analysis (PCA) or Partial Least Square (PLS) to tackle the collinearity among variables. …”
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Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent by Emmanuel, Freda

“…Further indexing with PLS-WQI using the algorithm programmed in Matlab R2009b which allows for the consideration of only parameters that impart the greatest influence on water quality has resulted in a better presentation of the actual water quality at each station. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Pattern Recognition for Human Diseases Classification in Spectral Analysis by Nur Hasshima Hasbi, Abdullah Bade, Fuei, Pien Chee, Muhammad Izzuddin Rumaling

“…On the other hand, classification methods are techniques or algorithms used to group samples into a predetermined category. …”
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Transferring near infrared spectroscopic calibration model across different harvested seasons using joint distribution adaptation by Suarin, Nur Aisyah Syafinaz, Kim, Seng Chia

“…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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The interrelations between artificial intelligence (AI) usage and academic performance by Chin, Wie Jane

“…Six different uses of AI, routine use, regular use, efficient use, extended use, innovative use and reinformed use, were selected to look into their effect on students’ academic performance. …”
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Polytechnic science lecturers’ intention to use ICT as a tool in northeast Nigeria: a smart PLS approach by Yohanna, G., Md Yunos, Jailani, Mohamad, Marlina, Ruth, J. Y.

“…Several studies affirmed a significant influence of perception of usefulness and perception on ease-of-use on attitude towards technology acceptance and were validated in different behavioural intention to use. …”
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Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months by Suarin, Nur Aisyah Syafinaz, Chia, Kim Seng, Mohamad Fuzi, Siti Fatimah Zaharah

“…Then, data from different analysis months were used as source and target datasets. 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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Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…The redundant wavelength was removed and the wavelength features that are strongly associated with the moisture content of glutinous rice were chosen using the competitive adaptive reweighted sampling algorithm (CARS). …”
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Does organizational culture matter in the relationship between trust and SMEs performance by Gorondutse, Abdullahi Hassan, Abdullah, Haim Hilman

“…Design/methodology/approach – The hypotheses of the study were tested using personally administered survey questionnaires; the study obtained 486 valid questionnaires, which were evaluated using SmartPLS Algorithm and bootstrapping functions. …”
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Development of robust procedures for partial least square regression with application to near infrared spectral data by Silalahi, Divo Dharma

“…The results indicate that the proposed method outperforms the existing methods in this study. In the in-processing, the PLSR model is very sensitive to the optimal number of PLS components used in the model fitting process. …”
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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 by Gambo, Nuru, Said, Ilias, Ismail, Radzi

“…A Warp partial least square-structural equation modeling (PLS-SEM) software algorithm was used for the analysis of collected data. …”
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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 by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

“…Methods: A voluntary sample of 600 participants, aged 15 to 29, was recruited. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to examine the relationships between variables. …”
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Consumers' intention to use e-money mobile using the decomposed theory of planned behavior by Husnil, Khatimah

“…The Partial Least Squares Method (PLS) series PLS 2.0 M3 for algorithm and bootstrap techniques and SPSS 18 was used to test the hypothesis that has been developed. …”
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Capability requirements on fraud prevention in the Nigeria public sector: perception of forensic accountants and auditors by Lateef, Saheed Ademola

“…Three were tested through the use of the PLS-SEM Algorithm and Bootstrapping techniques regarding their internal consistency reliability, convergent validity, discriminant validity, and direct relationships. …”
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Cyber hygiene during Covid-19 to avoid cyber attacks by Lee, Yvonne Yi Jin

“…After received the responds from participants, we had run the analysis on all the variables by using SmartPLS 3.3 and calculate the PLS-SEM algorithm of the variables. …”
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Group consumers' preference recommendation algorithm model for online apparel's colour based on Kansei engineering by Ge, Baoru, Shaari, Nazlina, Mohd Yunos, Mohd Yazid, Zainal Abidin, Sazrinee

“…That is, this study obtained consumers' aesthetic emotional preference for men's plain-colour shirts in China, colour design elements of shirts that are widely recognized and accepted, basic colour calculation scales, recommendation preferences algorithms and models for group consumers, and verified their effectiveness by PCA.…”
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Partial Least Squares (PLS) Integrated Fourier Transform Infrared (FTIR) Approach for Prediction of Moisture in Transformer Oil and Lubricating Oil by Sim, Siong Fong, Amelia Laccy, Jeffrey Kimura

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