Search Results - (( java implication based algorithm ) OR ( using pls learning algorithm ))
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Transferring near infrared spectroscopic calibration model across different harvested seasons using joint distribution adaptation
Published 2022“…The proposed JDA-PLS was compared to the PLS without transfer learning as the baseline learning. …”
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Book Section -
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Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months
Published 2024“…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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Polytechnic science lecturers’ intention to use ICT as a tool in northeast Nigeria: a smart PLS approach
Published 2017“…Constructs based on TAM (perceived usefulness, ease-of-use and attitude on behavioural intention to use a computer) also supported the impact of perceived ease-of-use on perceived usefulness and towards the lecturers’ attitude. …”
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Examining Social Presence and Online Learning Satisfaction Among Malaysian University Students During the COVID-19 Pandemic
Published 2022“…The partial least square (PLS) algorithm was used to examine the association and the prediction of the proposed relationship. …”
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The interrelations between artificial intelligence (AI) usage and academic performance
Published 2024“…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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Final Year Project / Dissertation / Thesis -
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Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
Published 2023“…In this project, Fornell-Larker parameters are used to test the measurement algorithm for the research's discriminant validity. 380 valid questionnaires returnedback and conducted the calculation of the algorithm's assessment to constructs' validity and realibility assessment, discriminant validity using HTMTand Fornell-Larker approaches. …”
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Final Year Project / Dissertation / Thesis -
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Multivariate Based Analysis of Methane Adsorption Correlated to Toc and Mineralogy Impact from Different Shale Fabrics
Published 2021“…The variation of adsorption on shale fabric has been conducted using different machine learning approaches. The multivariate analysis is carried out using the partial least square (PLS) method and support vector regression (SVR), along with random forest regression method. …”
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Conference or Workshop Item -
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Development of robust procedures for partial least square regression with application to near infrared spectral data
Published 2021“…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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Thesis -
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The effect of balanced scorecard on business performance : a mediating effect of new product development success in food and beverage industry in Malaysia
Published 2020“…The theoretical framework was created based on previous literature and model validity was measure using Smart PLS 3.2.8. The PLS–SEM algorithm showed the highest outer loading value, which invariably met the threshold cut off value. …”
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Thesis -
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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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The influence of human resource management practices, organisational ethical climate and organisational learning capability on corporate environmental citizenship
Published 2017“…The data were then analysed by using PLS algorithm and the bootstrapping procedure. …”
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Thesis -
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Ganoderma boninense classification based on near-infrared spectral data using machine learning techniques
Published 2022“…Four different ML algorithms are tested for prediction of G. boninense infection: K-Nearest Neighbour (kNN), Naïve Bayes (NB), Support Vector Machine (SVM) and Decision Tree (DT) are tested which depicted DT algorithm achieves a satisfactory overall performance with high accuracy up to 93.1% and F1-score of 92.6% compared to other algorithms. …”
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Strategic capabilities, innovation strategy and the performance of food and beverage small and medium enterprises
Published 2019“…Based on the model developed, a questionnaire was constructed and personally administered at random to collect the data from 229 respondents in the study area. Algorithm and bootstrapping techniques of Partial Least Squared Structural Equation Model (Smart PLS-3.0) was used to test the developed hypotheses of the study. …”
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Thesis -
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Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia
Published 2019“…The data collected was used to learn the structure of BN via some known algorithms using R programming language. …”
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The integration between strategic cost management techniques to improve the performance of Iraqi manufacturing companies
Published 2017“…Data were collected by means of structured questionnaire survey using simple random sampling and a Partial Least Squares (PLS) algorithm and bootstrap techniques were used to test the hypothesis of the paper.The result revealed that TQM had a significant positive effect on BSC through the measurement of customer perspective, financial perspective, innovation and learning perspective, and internal business process perspective.The finding implies that Iraqi manufacturing industries can attain the performance of their companies in the different perspective of BSC by proper implementation of TQM technique.…”
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Terahertz sensing analysis for early detection of ganoderma boninense disease using near infrared (NIR) spectrometer
Published 2023“…Early detection is critical for the effective management of this disease since there is no effective treatment that can stop the spread of this disease. The proposed system uses integrated hand-held near-infrared spectroscopy (NIRS) for early detection of G. boninense on asymptomatic oil palm seedlings and classification of spectral data using machine learning (ML) techniques. …”
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The effect of organisational internal factors and technology orientation on environmental sustainability performance of Malaysian construction firms
Published 2021“…After the data screening using SPSS (version 26), the Partial Least Squares Structural Equation Modeling (PLS-SEM) algorithm and bootstrap techniques were utilised to test the hypothesised paths in this study. …”
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