Keywords: Remaining useful life; Multistate deterioration; Nonlinearity; Hyper-parameter optimization; Complex equipment; ADL; Average deterioration level; BIC; Bayesian information criterion; DL; Deterioration level; GKPCA; Greedy kernel principal components analy
مقالات ISI (ترجمه نشده)
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Keywords: Voice pathology detection; Feature selection; PCA; kPCA; Random forest; Acoustic analysis;
Keywords: Planetary gear; Fault diagnosis; EEMD; Entropy feature fusion; KPCA; LVQ neural network
Keywords: Online fault diagnosis; Nonlinear and noisy processes; Nonlinear Gaussian Belief Network; PCA; KPCA; KICA; SPA; MWKPCA;
Keywords: Kernel IFDA; KPCA; Feature extraction; Face recognition
Keywords: 3D biometrics; 3D face recognition; 3D representation; KPCA; SVM
Analysis of the behaviour of the detrended BSE sensex data
Keywords: Detrending; BSE Sensex; PCA; KPCA; Hurst coefficient; Correlated data;
Evolutionary multi-objective optimization assisted by metamodels, kernel PCA and multi-criteria decision making techniques with applications in aerodynamics
Keywords: CFD; computational fluid dynamics; DB; database; DM; decision maker; EA; evolutionary algorithm; KPCA; kernel principal component analysis; M(K)AEA; metamodel (supported by the KPCA) assisted evolutionary algorithm; M(K)AEA(K); metamodel-assisted evolutio
Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring
Keywords: KPCA; RKPCA; MW-RKPCA; Nonlinear dynamic process; Fault detection;
Regularized kernel PCA for the efficient parameterization of complex geological models
Keywords: Geological parameterization; Kernel PCA; KPCA; Reservoir modeling; History matching; Bayesian inversion; Inverse modeling; Data assimilation; Dimension reduction;
Optimizing kernel methods to reduce dimensionality in fault diagnosis of industrial systems
Keywords: Fault diagnosis; Feature extraction; Kernel evaluation measures; KPCA; KFDA; Dimensionality reduction
Feature extraction of wound infection data for electronic nose based on a novel weighted KPCA
Keywords: Electronic nose; Feature extraction; KPCA; Weighted kernel methods; Wound infection;
L1 norm based KPCA for novelty detection
Keywords: KPCA; L1 norm; Novelty detection
Evaluation of driver fatigue on two channels of EEG data
Keywords: EEG; Driver fatigue; Ratio indices; GRA; KPCA;
The optimization of the kind and parameters of kernel function in KPCA for process monitoring
Keywords: Chemical processes; KPCA; Kernel function; Optimization; Genetic algorithm; Fermentation
Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic
Keywords: KPCA; SVM; MVAR; EEG; Driving mental fatigue
Approximations of the standard principal components analysis and kernel PCA
Keywords: PCA; KPCA; Kernel space; Orthogonal projection
Fault detection based on Kernel Principal Component Analysis
Keywords: PCA; KPCA; Subspace; Nonlinearity; Detection
KPCA for semantic object extraction in images
Keywords: Segmentation; KPCA; KMeans; Kernel KMeans; GMM; Kernel GMM
Subspace-based gearbox condition monitoring by kernel principal component analysis
Keywords: Gearbox condition monitoring; Subspace; KPCA; Non-linear feature; Vibration
Extracting nonlinear features for multispectral images by FCMC and KPCA
Keywords: Nonlinear feature; Multispectral image; FCMC; KPCA;