Results 21 to 30 of about 14,660 (227)
Food Science of Animal Resources, 2018 To identify correlation between fresh meat and processed meat products, we performed canonical correlation analysis (CCA) to predict the relationship between pork supply and meat product production in Korea.
Tae Wan Kim +4 more
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Estimation of Low-Flow in South Korean River Basins Using a Canonical Correlation Analysis and Neural Network (CCA-NN) Based Regional Frequency Analysis [PDF]
Atmosphere, 2019 Low-flow quantiles at ungauged locations are generally estimated based on hydrological methods, such as the drainage area ratio and frequency analysis methods. In practice, the drainage area ratio approach is a popular but simple linear model. When hydrologically nonlinear characteristics govern the runoff process, the linear approach leads to ...
Kichul Jung, Eunji Kim, Boosik Kang
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PLoS ONE, 2014 This analysis was conducted to explore the association between 5 birth size measurements (weight, length and head, chest and mid-upper arm [MUAC] circumferences) as dependent variables and 10 maternal factors as independent variables using canonical ...
Alamgir Kabir +7 more
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Rainfall prediction of Cimanuk watershed regions with canonical correlation analysis (CCA)
Journal of Physics: Conference Series, 2017 Rainfall prediction in Indonesia is very influential on various development sectors, such as agriculture, fisheries, water resources, industry, and other sectors. The inaccurate predictions can lead to negative effects. Cimanuk watershed is one of the main pillar of water resources in West Java.
Shailla Rustiana +6 more
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Ethiopian Seasonal Rainfall Variability and Prediction Using Canonical Correlation Analysis (CCA) [PDF]
Earth Sciences, 2015 Because Ethiopia’s economy is mainly dependent on rain-fed agriculture, the failure or the goodness of seasonal rainfall is incredibly decisive the country’s socio economic functioning- in particular, food production. As a result, the reliable seasonal rainfall prediction would have several advantages for agricultural activities, water management ...
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Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2018 Canonicalcorrelation analysis, which is one of the multivariate statistical methods, isan alternative to multivariate regression analysis and it reveals therelationship between the variable sets.
Ceren Ünal, Hüseyin Tatlıdil
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IEEE Access, 2019 A novel method for interest level estimation based on tensor completion via feature integration for partially paired users' behavior and videos is presented in this paper. The proposed method defines a novel canonical correlation analysis (CCA) framework
Tetsuya Kushima +3 more
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Frontiers in Neuroscience, 2022 We report on the quantitative electroencephalogram (qEEG) and cognitive effects of Neuroepo in Parkinson’s disease (PD) from a double-blind safety trial (https://clinicaltrials.gov/, number NCT04110678). Neuroepo is a new erythropoietin (EPO) formulation
Maria L. Bringas Vega +16 more
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Partial Differential Equations in Applied MathematicsCanonical correlation analysis (CCA) study the linear combinations between a two multivariate set of variable that have the maximum association among these two sets of variables. The main computation of the CCA is depend on the sample mean and covariance
Mufda Jameel Alrawashdeh +3 more
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Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension Reduction
Frontiers in Neuroscience, 2022 Canonical Correlation Analysis (CCA) has been widely applied to study correlations between neuroimaging data and behavioral data. Practical use of CCA typically requires dimensionality reduction with, for example, Principal Components Analysis (PCA ...
Zhangdaihong Liu +4 more
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