Results 31 to 40 of about 112,882 (301)
Foods, 2020 The scaling rate of carp is one of the most important factors restricting the automation and intelligence level of carp processing. In order to solve the shortcomings of the commonly-used manual detection, this paper aimed to study the potential of ...
Huihui Wang +5 more
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Scientific Reports, 2023 Despite the widespread interest in electrospinning technology, very few simulation studies have been conducted. Thus, the current research produced a system for providing a sustainable and effective electrospinning process by combining the design of ...
Md. Nahid Pervez +9 more
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Remote Sensing, 2022 The monitoring of species and functional diversity is of increasing relevance for the development of strategies for the conservation and management of biodiversity.
Alice Ziegler +34 more
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Chemical Engineering Transactions, 2015 Quality control of industrial products has become essential in modern industry as it aims to satisfy customer demands. Therefore it requires fast and simple procedures in order to ensure efficient on-line process monitoring and detect abnormal deviation ...
A. Taris +3 more
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Agronomía Colombiana, 2022 This study proposes a predictive model to determine the concentration of cadmium (Cd) in cocoa beans based on laser-induced breakdown spectroscopy (LIBS) and partial least squares regression (PLSR-1 or PLS-1).
Sandra Liliana Herrera Celis +3 more
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Estimation of carcass weight of Hanwoo (Korean native cattle) as a function of body measurements using statistical models and a neural network [PDF]
Asian-Australasian Journal of Animal Sciences, 2020 Objective The objective of this study was to develop a model for estimating the carcass weight of Hanwoo cattle as a function of body measurements using three different modeling approaches: i) multiple regression analysis, ii) partial least square ...
Dae-Hyun Lee +7 more
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Foods, 2020 This research studied sea bream freshness evolution through storage time in ice by determining different quality parameters and sensory profiles. Predictive models for freshness index, storage time, and microbial counts were designed from these data ...
Juan Calanche +3 more
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Fast Multiway Partial Least Squares Regression
IEEE Transactions on Biomedical Engineering, 2019 Multiway array decomposition has been successful in providing a better understanding of the structure underlying data and in discovering potentially hidden feature dependences serving high-performance decoder applications. However, the computational cost of multiway algorithms can become prohibitive, especially when considering large datasets ...
Camarrone, Flavio, Van Hulle, Marc M.
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On function-on-function regression: partial least squares approach [PDF]
Environmental and Ecological Statistics, 2020 Functional data analysis tools, such as function-on-function regression models, have received considerable attention in various scientific fields because of their observed high-dimensional and complex data structures. Several statistical procedures, including least squares, maximum likelihood, and maximum penalized likelihood, have been proposed to ...
Ufuk Beyaztas, Han Lin Shang
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Comparison of regression models under multi-collinearity
, 2018 Multicollinearity is a major problem in linear regression analysis and several methods exists in the literature to deal with the same. Ridge regression is one of the most popular methods to overcome the problem followed by Generalized Ridge Regression ...
Srinivasan, Rangasami M.; Department of Statistics, University of Madras +2 more
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