Results 21 to 30 of about 1,131,696 (312)
Classification models for heart disease prediction using feature selection and PCA
, 2020 The prediction of cardiac disease helps practitioners make more accurate decisions regarding patients' health. Therefore, the use of machine learning (ML) is a solution to reduce and understand the symptoms related to heart disease.
Anna Karen Gárate-Escamila +2 more
semanticscholar +1 more source
Experimental investigation of 50 MPa reinforced concrete slabs subjected to blast loading
Ingeniería e Investigación, 2018 This paper presents results from blast tests conducted on four 50 MPa concrete slabs with reinforcement ratios of 0,175% and 0,37%. Two of the slabs were retrofitted with 50 mm thick foam in order to investigate the potential of using the foam as a ...
Fausto Mendonça +2 more
doaj +1 more source
RKF-PCA: Robust kernel fuzzy PCA
Neural Networks, 2009 Principal component analysis (PCA) is a mathematical method that reduces the dimensionality of the data while retaining most of the variation in the data. Although PCA has been applied in many areas successfully, it suffers from sensitivity to noise and is limited to linear principal components.
Computer and Information Science and Engineering, University of Florida, United States ( host institution ) +3 more
openaire +4 more sources
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2018 As an unsupervised dimensionality reduction method, the principal component analysis (PCA) has been widely considered as an efficient and effective preprocessing step for hyperspectral image (HSI) processing and analysis tasks.
Junjun Jiang +5 more
semanticscholar +1 more source
Agua y Suero Fisiológico para Prevenir la Formación de Paracloroanilina [PDF]
, 2015 Indexación: Web of Science; Scielo.ABSTRACT: This study determined if p-chloroaniline (PCA) can be minimized by using distilled water and physiological saline solution following sodium hypochlorite but before chlorhexidine.
Araya, Pilar +4 more
core +1 more source
Genetic diversity of parental clones used in breeding programs of sugarcane
Electronic Journal of Plant Breeding, 2021 The present investigation aimed to assess the nature and magnitude of genetic divergence available in the Hybridization Block (E1) and National Hybridization Garden (E2) of ICAR-Sugarcane Breeding Institute, Coimbatore and to select the suitable diverse ...
S. Alarmelu*, A. Anna Durai, H. K. Mahadeva Swamy, G. Hemaprabha and Adhini S. Pazhany
doaj +1 more source
Tangent Phylogenetic PCA [PDF]
, 2023 Phylogenetic PCA (p-PCA) is a version of PCA for observations that are leaf nodes of a phylogenetic tree. P-PCA accounts for the fact that such observations are not independent, due to shared evolutionary history. The method works on Euclidean data, but in evolutionary biology there is a need for applying it to data on manifolds, particularly shapes ...
Akhøj, Morten +2 more
openaire +4 more sources
Open Chemistry, 2022 Based on metabolomics, the metabolites of Jujube leaves LS1 (one bud and two leaves), LS2 (one bud and three leaves), and LS3 (one bud and four leaves) were taken and examined by ultra-high performance liquid chromatography-mass spectrometry technique ...
Liu Hongxia +5 more
doaj +1 more source
CONSUMER PREFERENCES IN ECO-TOURISM DEVELOPMENT IN BALI WITH UGC (USER GENERATED CONTENT) APPROACH
AGRISE, 2023 The concept of ecology-based tourism or ecotourism is the main attraction for tourists. This study was conducted to determine the attributes of superior ecotourism at resorts based on consumer preferences using the UGC (User Generated Content) approach ...
Annisa Vira Widayanti +2 more
doaj +1 more source
Domain swapping and amyloid fibril conformation [PDF]
, 2012 For several different proteins an apparent correlation has been observed between the propensity for dimerization by domain-swapping and the ability to aggregate into amyloid-like fibrils.
Van Der Wel, PCA
core +1 more source