Principal Component Analysis (PCA) for Powder Diffraction Data: Towards Unblinded Applications
Crystals, 2020 We analyze the application of Principal Component Analysis (PCA) for untangling the main contributions to changing diffracted intensities upon variation of site occupancy and lattice dimensions induced by external stimuli.
Dmitry Chernyshov +3 more
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Application of Principal Component Analysis for Steel Material Components
Kurdistan Journal of Applied Research, 2022 In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal ...
Miran Othman Tofiq +1 more
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PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS
Jurnal Kesehatan Masyarakat Andalas, 2009 PCA (Principal Component Analysis ) are statistical techniques applied to a single set of variables when the researcher is interested in discovering which variables in the setform coherent subset that are relativity independent of one another.Variables ...
Hermita Bus Umar
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Vibration-based damage detection in an aircraft wing scaled model using principal component analysis and pattern recognition [PDF]
, 2008 This study deals with vibration-based fault detection in structures and suggests a viable methodology based on principal component analysis (PCA) and a simple pattern recognition (PR) method. The frequency response functions (FRFs) of the healthy and the
Trendafilova, I. +3 more
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Classification of Anemia Images Based on Principal Component Analysis (PCA)
Al-Mustansiriyah Journal of Science, 2017 Blood cells are composed of erythrocytes (Red Blood Cells (RBCs)), the shape of RBC changes when the body suffers from different diseases such as Anemia.
Asma I. Hussein, Nidaa F. Hassan
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Principal Component Analysis in advanced breeding lines of oat (A. sativa × A. sterilis)
Electronic Journal of Plant Breeding, 2023 One hundred advanced oat lines involving two checks were assessed for genetic variability and diversity based on 15 agro-morphological traits by using principal component analysis.
Nagesh Bichewar1*, A. K. Mehta1, Kadthala Bhargava2 and S. Ramakrishana1
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Moving objects classification via category-wise two-dimensional principal component analysis [PDF]
Applied Computing and Informatics, 2022 Classifying moving objects in video sequences has been extensively studied, yet it is still an ongoing problem. In this paper, we propose to solve moving objects classification problem via an extended version of two-dimensional principal component ...
Falah Alsaqre, Osama Almathkour
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Principal component and factor analysis to study variations in the aging lumbar spine [PDF]
, 2015 Human spine is a multifunctional structure of human body consisting of bones, joints, ligaments and muscles which all undergo a process of change with the age. A sudden change in these features either naturally or thorough injury can lead to some serious
Shah, Akeel A. +4 more
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Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method [PDF]
Water Harvesting Research, 2021 In order to efficiently manage groundwater resources, determination of the main sampling points is very important to reduce sample size and save time and cost.
Samira Rahnama +3 more
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Performance monitoring of MPC based on dynamic principal component analysis
, 2011 A unified framework based on the dynamic principal component analysis (PCA) is proposed for performance monitoring of constrained multi-variable model predictive control (MPC) systems.
Chen, Sheng +3 more
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