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Robust principal components for hyperspectral data analysis
(Springer, 2009-07)
Remote sensing data present peculiar features and characteristics that may make their statistical processing and analysis a difficult task. Among them, it can be mentioned the volume of data involved, the redundancy, the ...
Principal component analysis for selection of superior maize genotypesAnálise de componentes principais para seleção de genótipos superiores de milho
(2020-01-01)
Constant advances in studies on the behavior of maize genotypes and their interactions with the environment are of great importance for the best performance of the plant. This study verifies effects and causes of agronomic ...
Evaluation of the growth of enterobacteria in fructooligosaccharides using the principal components analysis
(Universidade Tecnológica Federal do Paraná (UTFPR), 2016)
Scapulothoracic kinematic pattern in the shoulder pain and scapular dyskinesis: A principal component analysis approach
(Universidade Federal de Minas GeraisBrasilEEF - DEPARTAMENTO DE FISIOTERAPIAUFMG, 2018-08)
Diagnosis of a battery energy storage system based on principal component analysis
This paper proposes the use of principal component analysis (PCA) for the state of health (SOH) diagnosis of a battery energy storage system (BESS) that is operating in a renewable energy laboratory located in Chocó, ...
TEACHING EXPERIMENT OF CHEMOMETRICS FOR EXPLORATORY ANALYSIS OF EDIBLE VEGETABLE OILS BY MID INFRARED SPECTROSCOPY AND PRINCIPAL COMPONENT ANALYSIS: A TUTORIAL. PART I.
(Soc Brasileira QuimicaSao PauloBrasil, 2012)
Fault Detection in a Heat Exchanger, Comparative Analysis between Dynamic Principal Component Analysis and Diagnostic Observers
(Revista Computación y Sistemas; Vol. 14 No. 3, 2011-03-08)
Abstract. A comparison between the Dynamic Principal
Component Analysis (DPCA) method and a set of
Diagnostic Observers (DO) under the same experimental
data from a shell and tube industrial heat exchanger is
presented. ...