Results 41 to 50 of about 184,536 (160)
Chemical composition and growth characteristics of Amorphophallus bulbifer
BMC Plant BiologyKonjac is an important horticultural vegetable and characteristic cash crop. Amorphophallus bulbifer has many advantages such as high yield, good quality and strong resistance.
Jinwei Li +7 more
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Ensemble Principal Component Analysis
IEEE AccessEfficient representations of data are essential for processing, exploration, and human understanding, and Principal Component Analysis (PCA) is one of the most common dimensionality reduction techniques used for the analysis of large, multivariate ...
Olga Dorabiala +2 more
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An example of using obliquely rotated principal components to detect circulation types over Europe
Meteorologische Zeitschrift, 1993 Principal component analysis (PCA) is applied to selected gridded 500 hPa height data over Europe, the stratification of which is known in advance, in order to evaluate its ability to find dominating circulation types.
Radan Huth
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Applied SciencesMining-induced seismicity presents significant challenges to the safety and operational continuity of underground mines, particularly in deep and highly stressed environments.
Felipe Muñoz +3 more
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How many separable sources? Model selection in independent components analysis.
PLoS ONE, 2015 Unlike mixtures consisting solely of non-Gaussian sources, mixtures including two or more Gaussian components cannot be separated using standard independent components analysis methods that are based on higher order statistics and independent ...
Roger P Woods +2 more
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Using principal component analysis to identify the component affecting skull weight of Japanese Quail [PDF]
Basrah Journal of Veterinary ResearchPrincipal Component Analysis (PCA) is a powerful statistical tool used to reduce the complexity of large datasets while preserving significant variations.
israa Abd Alsada
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Designing a Hybrid Approach to Predict the Performance of Decision Making Units Based on Fuzzy Stochastic DEA and PCA [PDF]
چشمانداز مدیریت صنعتی, 2014 Data Envelopment Analysis is a management method which applied to performance analysis for decision making units. This paper presents a new hybrid approach based on fuzzy stochastic DEA (FSDEA) and principal component analysis (PCA) to predict efficiency
Ali Yaghoubi +2 more
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Constructing Indonesian Composite Infrastrcuture Index using Principal Component Analysis.
Journal of Indonesian Applied Economics, 2022 This article aims to develop Indonesia's economic infrastructure indices, including transportation, telecommunications, education, and financial. The index employs indicators from 2018 at the regency level using Principal Component Analysis (PCA) to ...
FIRMAN HERDIANSAH, Farah Pangestuty
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A Kernel based approach for classification of electromagnetic interference signals
Revista Técnica de la Facultad de Ingeniería, 2010 This paper introduces Electromagnetic Interference signal classification methods for signals obtained on ribbon cables with different crosstalk configurations. The proposed method comprises two stages. The first one is a preprocessing stage that applies
Ender Luzardo +2 more
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Remote Sensing, 2019 Dimensionality reduction (DR) is an important preprocessing step in hyperspectral image applications. In this paper, a superpixelwise kernel principal component analysis (SuperKPCA) method for DR that performs kernel principal component analysis (KPCA ...
Lan Zhang, Hongjun Su, Jingwei Shen
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