Results 31 to 40 of about 536,911 (259)
Chemomertic Risk Assessment of Soil Pollution
In this study, an interpretation and modeling of the soil quality by monitoring data using an intelligent data analysis is presented. On an annual average, values of 12 soil surface chemical parameters as input variables were determined at 35 sampling ...
Nedyalkova Miroslava, Simeonov Vasil
doaj +1 more source
Interpretable Functional Principal Component Analysis
SummaryFunctional principal component analysis (FPCA) is a popular approach to explore major sources of variation in a sample of random curves. These major sources of variation are represented by functional principal components (FPCs). The intervals where the values of FPCs are significant are interpreted as where sample curves have major variations ...
Lin, Zhenhua +2 more
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The classic principal components analysis (PCA), kernel PCA (KPCA) and linear discriminant analysis (LDA) feature extraction methods evaluate the importance of components according to their covariance contribution, not considering the entropy ...
Shunfang Wang, Ping Liu
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ارزیابی ژنوتیپهای یولاف زراعی (Avena sativa L.) با استفاده از شاخصهای تحمل خشکی [PDF]
یولاف بهعنوان یکی از غلاتی که در اغلب نقاط دنیا کشت میگردد، دارای خواص غذایی و دارویی بسیاری است و این ظرفیت را دارد که در ایران نیز بهطور اقتصادی کشتوکار شود، اما همانند بسیاری دیگر از محصولات زراعی تنش خشکی میتواند ازجمله موانع توسعه و تولید مطلوب
صحبت بهرامی نژاد +2 more
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Principal Components Analysis of EEG Signals for Epileptic Patient Identification
According to the behavior of its neuronal connections, it is possible to determine if the brain suffers from abnormalities such as epilepsy. This disease produces seizures and alters the patient’s behavior and lifestyle.
Maria Camila Guerrero +2 more
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Composição química da precipitação úmida da região metropolitana de Porto Alegre, Brasil, 2005- 2007
This work aims to quantify the wet precipitation the Metropolitan Area of Porto Alegre (MAPA), in southern Brazil, through the analysis of major ions (by ion chromatography) and metallic elements (ICP/AES).
Daniela Montanari Migliavacca +2 more
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Parametric Functional Principal Component Analysis
Summary Functional principal component analysis (FPCA) is a popular approach in functional data analysis to explore major sources of variation in a sample of random curves. These major sources of variation are represented by functional principal components (FPCs).
Sang, Peijun +2 more
openaire +3 more sources
Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation
Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these algorithms could be grouped into one of the following ...
Deniz Erdogmus +4 more
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: Owing to the high demand for healthier foods, the food industry has been marketing diet and light yogurts. The present study aimed to sensorially evaluate yogurts prepared using natural sweeteners through a simple centroid mixture design with three ...
Daiana Aparecida de Carvalho +2 more
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ABSTRACT Chemotherapy‐induced peripheral neuropathy remains a major complication in pediatric cancer, with disrupted somatosensory and nociceptive processing being a key aspect. This review synthesizes empirical studies on alterations in somatosensory and nociceptive processing in children and adolescents with cancer.
Julia Schweiger +4 more
wiley +1 more source

