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Firstly, the time frequency feature parameter sets are constructed to completely extract the features of different life grades.
Thanks to the efforts of Arianna Huffington and her tireless team, college students across the country are waking up to the fact that the common saying "sleep; social life; grades: choose two" is decidedly unhealthy and unhelpful, and they're learning both why they should want to change, and how.
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The life grade recognition example on deep groove ball bearings demonstrated the effectivity of the proposed life grade recognition method.
A life grade recognition example for deep groove ball bearings demonstrates that the proposed method is effective in life grade recognition.
Finally, the low-dimensional eigenvectors of testing and training samples are put into OSFCM to realize life grade recognition.
This allows OSFCM to have a higher life grade recognition accuracy than Fuzzy C-Means Clustering (FCM) does.
A novel life grade recognition method based on Supervised Uncorrelated Orthogonal Locality Preserving Projection (SUOLPP) and K-nearest neighbor classifier (KNNC) is proposed in this paper.
A novel life grade recognition method based on Supervised Orthogonal Linear Local Tangent Space Alignment (SOLLTSA) and Optimal Supervised Fuzzy C-Means Clustering (OSFCM) is proposed for rotating machinery in this paper.
SOLLTSA not only combines the local geometry with class information for manifold decoupling, but also solves the optimal low dimensional embedding subspace by spectral regression and subspace orthonormalization approach, thus improving the life grade feature extraction power of LLTSA.
SUOLPP algorithm considers both local information and label information in designing the similarity matrix, and requires the output basis vectors to be statistically uncorrelated and orthogonal in order to improve the life grade feature extraction power of OLPP.
Measurements will include forced expiratory volume in 1 s, health-related quality of life, grade degree of breathlessness related to activities, COPD exacerbations and pharmacoeconomic analysis.
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