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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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 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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Robust Orthogonal Complement Principal Component Analysis [PDF]
, 2016 Recently, the robustification of principal component analysis has attracted lots of attention from statisticians, engineers and computer scientists. In this work we study the type of outliers that are not necessarily apparent in the original observation ...
Li, Shijie, She, Yiyuan, Wu, Dapeng
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Sparse logistic principal components analysis for binary data [PDF]
, 2010 We develop a new principal components analysis (PCA) type dimension reduction method for binary data. Different from the standard PCA which is defined on the observed data, the proposed PCA is defined on the logit transform of the success probabilities ...
Hu, Jianhua +2 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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Embedding Principal Component Analysis for Data Reductionin Structural Health Monitoring on Low-Cost IoT Gateways [PDF]
, 2019 Principal component analysis (PCA) is a powerful data reductionmethod for Structural Health Monitoring. However, its computa-tional cost and data memory footprint pose a significant challengewhen PCA has to run on limited capability embedded platformsin ...
Abdelgawad A. +8 more
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Five Year Retrospective Case Series of Adnexal Torsion [PDF]
Journal of Clinical and Diagnostic Research, 2014 Aims and Objectives: Adnexal torsion is a rare gynaecological emergency that requires an early surgical intervention to save the adnexa from irreversible damage .Our study is about clinical presentation and management approach of adnexal torsion in a
Sobha Nair, Smitha Joy, Jayashree Nayar
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Principal component analysis and its generalizations for any type of sequence (PCA-Seq)
Вавиловский журнал генетики и селекции, 2020 In the 1940s, Karhunen and Loève proposed a method for processing a one-dimensional numeric time series by converting it into multidimensional by shifts. In fact, a one-dimensional number series was decomposed into several orthogonal time series.
V. M. Efimov +2 more
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Sizing the Shape: Understanding Morphometrics [PDF]
Journal of Clinical and Diagnostic Research, 2015 Purpose: One of the most fundamental limitations associated with the conventional cephalometrics is its inability to delineate size from shape as it depends mainly on linear and angular measurements.
Neha
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