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Principal component analysis in studies of substituent-induced carbon-13 chemical shifts of halogenated aliphatic compounds
(Elsevier Science BvAmsterdamHolanda, 2004)
The use of principal component analysis (PCA) for pattern recognition in Eucalyptus grandis wood biodegradation experiments
(Kluwer Academic PublDordrechtHolanda, 1998)
Reduction capability of soil humic substances from the Rio Negro basin, Brazil, towards Hg(II) studied by a multimethod approach and principal component analysis (PCA)
(Elsevier B.V., 2007-03-15)
This paper characterizes humic substances (HS) extracted from soil samples collected in the Rio Negro basin in the state of Amazonas, Brazil, particularly investigating their reduction capabilities towards Hg(II) in order ...
Reduction capability of soil humic substances from the Rio Negro basin, Brazil, towards Hg(II) studied by a multimethod approach and principal component analysis (PCA)
(Elsevier B.V., 2007-03-15)
This paper characterizes humic substances (HS) extracted from soil samples collected in the Rio Negro basin in the state of Amazonas, Brazil, particularly investigating their reduction capabilities towards Hg(II) in order ...
Meteorological Characterization of Large Daily Flows in a High-Relief Ungauged Basin Using Principal Component Analysis
(American Society of Civil Engineers (ASCE), 2019)
Decision making and hydrologic design for coping with floods are complex tasks in poorly gauged high-relief basins. The response of such basins is driven by precipitation and temperature, which controls the freezing level ...
Conformational analysis: A new approach by means of chemometrics
(Wiley-Blackwell, 2014)
Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective
(Elsevier Science London, 2018-02)
Background The development of statistical software has enabled food scientists to perform a wide variety of mathematical/statistical analyses and solve problems. Therefore, not only sophisticated analytical methods but ...
Classification of LiDAR data over building roofs using k-means and principal component analysisClassificação de dados LiDAR sobre telhados de edificações usando k-médias e análise de componentes principais
(2018-01-01)
The classification is an important step in the extraction of geometric primitives from LiDAR data. Normally, it is applied for the identification of points sampled on geometric primitives of interest. In the literature ...
Impact location and quantification on an aluminum sandwich panel using principal component analysis and linear approximation with maximum entropy
(MDPI, 2017)
To avoid structural failures it is of critical importance to detect, locate and quantify impact damage as soon as it occurs. This can be achieved by impact identification methodologies, which continuously monitor the ...