Results 11 to 20 of about 184,536 (160)
Principal Component Analysis (PCA)-Supported Underfrequency Load Shedding Algorithm [PDF]
Energies, 2020 This research represents a conceptual shift in the process of introducing flexibility into power system frequency stability-related protection. The existing underfrequency load shedding (UFLS) solution, although robust and fast, has often proved to be incapable of adjusting to different operating conditions.
Tadej Skrjanc +2 more
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Integrating Neutrosophic Logic into Principal Component Analysis: A Python-Based Framework [PDF]
Neutrosophic Sets and SystemsPrincipal Component Analysis (PCA) is a widely used dimensionality reduction technique that transforms correlated variables into a smaller set of uncorrelated principal components. However, classical PCA assumes precise and crisp data, which may not hold
D. Vidhya, S. Jafari, G. Nordo
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Assessing the spatiotemporal dynamics of maize yield in the central and northern regions of Ukraine
Agrology, 2019 This paper aims to establish the regularities of the spatio-temporal variability of maize yield in the Polissya and Forest-steppe zones of Ukraine, identify the factors that have the greatest impact on the yield of maize and to carry out zoning of the ...
A. A. Zymaroieva, T. P. Fedonyuk
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International Journal for Simulation and Multidisciplinary Design Optimization, 2023 Accurately predicting stock returns can help reduce market risk. This paper briefly introduced the long short-term memory (LSTM) algorithm model for predicting stock returns and combined it with principal component analysis (PCA) to improve the ...
Mi Yanxiang, Xu Donghai, Gao Tielin
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Principal component analysis of texture features derived from FDG PET images of melanoma lesions
EJNMMI Physics, 2022 Background The clinical utility of radiomics is hampered by a high correlation between the large number of features analysed which may result in the “bouncing beta” phenomenon which could in part explain why in a similar patient population texture ...
DeLeu Anne-Leen +7 more
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Horticulturae, 2022 A total of 124 identical volatile aromatic compounds were identified during storage of the European ‘Conference’ and the Asian ‘Yali’ pear cultivars in different temperature conditions. Only 5 volatiles were statistically differentiated in both cultivars
Jan Goliáš +2 more
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KPCA over PCA to assess urban resilience to floods [PDF]
E3S Web of Conferences, 2021 Global increases in the occurrence and frequency of flood have highlighted the need for resilience approaches to deal with future floods. The principal component analysis (PCA) has been used widely to understand the resilience of the urban system to ...
Satour Narjiss +3 more
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Fault Diagnosis of Industrial Process Based on FDKICA-PCA
Journal of Harbin University of Science and Technology, 2018 Because the dynamic characteristics of autocorrelation and lag correlation in production process are neglected in fault diagnosis,Kernel Independent Component AnalysisPrincipal Component Analysis (KICAPCA) is very poor in detecting small and gradual ...
ZHANG Jing +3 more
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Principal Component Analysis in ECG Signal Processing
EURASIP Journal on Advances in Signal Processing, 2007 This paper reviews the current status of principal component analysis in the area of ECG signal processing. The fundamentals of PCA are briefly described and the relationship between PCA and Karhunen-Loève transform is explained.
Roig José Millet +4 more
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Bulletin of Geography. Socio-Economic Series, 2021 The research aims to classify the level of sustainability of 63 provinces in Vietnam upon 24 indicators reflecting three main dimensions of sustainable development by using multivariate classification method for the year 2014–2016.
Truong Van Canh
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