Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach
Sign Up to like & getrecommendations! Published in 2025 at "Business Strategy and the Environment"
DOI: 10.1002/bse.4186
Abstract: In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates the factors and consequences of using generative AI to… read more here.
Keywords: least squares; determinants generative; green purchasing; artificial neural ... See more keywords
Robust iteratively reweighted SIMPLS
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DOI: 10.1002/cem.2881
Abstract: Partial least squares regression is a very powerful multivariate regression technique to model multicollinear data or situation where the number of explanatory variables is larger than the sample size. Two algorithms, namely, Non‐linear Iterative Partial… read more here.
Keywords: reweighted simpls; least squares; iteratively reweighted; robust iteratively ... See more keywords
A frequency‐localized recursive partial least squares ensemble for soft sensing
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DOI: 10.1002/cem.2999
Abstract: We report the use of a frequency‐localized adaptive soft sensor ensemble using the wavelet coefficients of the responses from the physical sensors. The proposed method is based on building recursive, partial least squares soft sensor… read more here.
Keywords: soft sensor; least squares; recursive partial; wavelet ... See more keywords
Local partial least squares based on global PLS scores
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DOI: 10.1002/cem.3117
Abstract: A local‐based method for near‐infrared spectroscopy predictions, the local partial least squares regression on global PLS scores (LPLS‐S), is proposed in this work and compared with the usual local PLS (LPLS) regression approach. LPLS‐S is… read more here.
Keywords: pls; least squares; local partial; lpls ... See more keywords
Adaptive soft sensor modeling of chemical processes based on an improved just‐in‐time learning and random mapping partial least squares
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Chemometrics"
DOI: 10.1002/cem.3554
Abstract: The just‐in‐time learning‐based partial least squares (JIT‐PLS) has been extensively applied to adaptive soft sensor modeling of complex nonlinear processes. However, it still has the problems of unreasonable relevant samples selection and unsatisfactory local modeling.… read more here.
Keywords: time learning; least squares; random mapping; partial least ... See more keywords
Sparse partial least squares with group and subgroup structure.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7821
Abstract: Integrative analysis of high dimensional omics datasets has been studied by many authors in recent years. By incorporating prior known relationships among the variables, these analyses have been successful in elucidating the relationships between different… read more here.
Keywords: group subgroup; subgroup structure; least squares; partial least ... See more keywords
Envelope‐based partial partial least squares with application to cytokine‐based biomarker analysis for COVID‐19
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9526
Abstract: Partial least squares (PLS) regression is a popular alternative to ordinary least squares regression because of its superior prediction performance demonstrated in many cases. In various contemporary applications, the predictors include both continuous and categorical… read more here.
Keywords: cytokine based; partial least; least squares; envelope based ... See more keywords
Classification of samples from NMR-based metabolomics using principal components analysis and partial least squares with uncertainty estimation
Sign Up to like & getrecommendations! Published in 2018 at "Analytical and Bioanalytical Chemistry"
DOI: 10.1007/s00216-018-1240-2
Abstract: AbstractRecent progress in metabolomics has been aided by the development of analysis techniques such as gas and liquid chromatography coupled with mass spectrometry (GC-MS and LC-MS) and nuclear magnetic resonance (NMR) spectroscopy. The vast quantities… read more here.
Keywords: components analysis; classification; uncertainty; analysis ... See more keywords
Phytoplankton community, structure and succession delineated by partial least square regression in Daya Bay, South China Sea
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DOI: 10.1007/s10646-020-02188-2
Abstract: Daya Bay is facing the influence of human activities and nature changes, which result in phytoplankton adjusting to the changing environment. The data about environmental changes and phytoplankton were obtained from four seasonal cruises in… read more here.
Keywords: succession; daya bay; least square; phytoplankton ... See more keywords
Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling
Sign Up to like & getrecommendations! Published in 2021 at "Social Indicators Research"
DOI: 10.1007/s11205-021-02846-w
Abstract: What is the real meaning of sustainable innovation? How is sustainable innovation different from other forms of innovation? How does sustainable innovation contribute to societal development? How can we measure the sustainable innovation of a… read more here.
Keywords: sustainable innovation; least squares; innovation; order partial ... See more keywords
Partial Least Squares Analysis of the Relationship Between Chemical Composition and Phenolic Compounds in Blueberry Cultivars
Sign Up to like & getrecommendations! Published in 2017 at "Food Analytical Methods"
DOI: 10.1007/s12161-016-0671-7
Abstract: Blueberries (Vaccinium spp.), one of the most widely consumed fruits worldwide, are rich in nutrients and exhibit antioxidant activity. In this study, the partial least squares and principal component analyses were used and the chemical… read more here.
Keywords: squares analysis; blueberry cultivars; least squares; chemical composition ... See more keywords