component analysis Latest Research Papers

The liquor quality recognition using magnetic resonance spectrum based on Kernel principal component analysis and convolutional neural network

Journal of Vibration Testing and System Dynamics ◽

10.5890/jvtsd.2022.03.002 ◽

2022 ◽

Vol 6 (1) ◽

pp. 13-20

Author(s):

Lin-Lin Cheng ◽

Lei-Lei Chen ◽

Qiao-Mei Wang ◽

Ming-Ju Chen ◽

Xing-Zhong Xiong

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Magnetic Resonance ◽

Convolutional Neural Network ◽

Resonance Spectrum ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis

Principle component analysis-based optimized feature extraction merged with nonlinear regression model for improved state-of-health prediction

Journal of Energy Storage ◽

10.1016/j.est.2022.104026 ◽

2022 ◽

Vol 48 ◽

pp. 104026

Author(s):

Pyeong-Yeon Lee ◽

Sanguk Kwon ◽

Deokhun Kang ◽

Inho Cho ◽

Jonghoon Kim

Keyword(s):

Feature Extraction ◽

Regression Model ◽

Nonlinear Regression ◽

Principle Component Analysis ◽

Component Analysis ◽

Nonlinear Regression Model ◽

State Of Health ◽

Principle Component

Sparse Functional Principal Component Analysis in High Dimensions

Statistica Sinica ◽

10.5705/ss.202020.0445 ◽

2023 ◽

Author(s):

Xiaoyu Hu ◽

Fang Yao

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Functional Principal Component Analysis ◽

High Dimensions ◽

Functional Principal Component

Mapping land subsidence and aquifer system properties of the Willcox Basin, Arizona, from InSAR observations and independent component analysis

Remote Sensing of Environment ◽

10.1016/j.rse.2022.112894 ◽

2022 ◽

Vol 271 ◽

pp. 112894

Author(s):

Mimi Peng ◽

Zhong Lu ◽

Chaoying Zhao ◽

Mahdi Motagh ◽

Lin Bai ◽

...

Keyword(s):

Independent Component Analysis ◽

Land Subsidence ◽

Component Analysis ◽

Independent Component ◽

Aquifer System ◽

System Properties

Artifact Removal from EEG signals using Regenerative Multi-Dimensional Singular Value Decomposition and Independent Component Analysis

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.103452 ◽

2022 ◽

Vol 74 ◽

pp. 103452

Author(s):

A. Mary Judith ◽

S. Baghavathi Priya ◽

Rakesh Kumar Mahendran

Keyword(s):

Singular Value Decomposition ◽

Independent Component Analysis ◽

Component Analysis ◽

Singular Value ◽

Independent Component ◽

Eeg Signals ◽

Artifact Removal ◽

Value Decomposition

Intelligent decision method of sludge bulking using recursive kernel principal component analysis and Bayesian network

Control Engineering Practice ◽

10.1016/j.conengprac.2021.105038 ◽

2022 ◽

Vol 121 ◽

pp. 105038

Author(s):

Zheng Liu ◽

Hong-Gui Han ◽

Li-Xin Dong ◽

Hong-Yan Yang ◽

Jun-Fei Qiao

Keyword(s):

Principal Component Analysis ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Decision Method ◽

Sludge Bulking ◽

Intelligent Decision

Using temporo-spatial principal component analysis as tool to dissociate latent ERP components of episodic memory retrieval: Objectifying time-window selection for overlapping ERP components

Brain and Cognition ◽

10.1016/j.bandc.2021.105833 ◽

2022 ◽

Vol 157 ◽

pp. 105833

Author(s):

André Haese ◽

Daniela Czernochowski

Keyword(s):

Principal Component Analysis ◽

Episodic Memory ◽

Memory Retrieval ◽

Time Window ◽

Principal Component ◽

Component Analysis ◽

Spatial Principal Component Analysis ◽

Selection For ◽

Window Selection

Discriminability and uncertainty in principal component analysis (PCA) of temporal check-all-that-apply (TCATA) data

Food Quality and Preference ◽

10.1016/j.foodqual.2021.104370 ◽

2022 ◽

Vol 96 ◽

pp. 104370

Author(s):

J.C. Castura ◽

D.N. Rutledge ◽

C.F. Ross ◽

T. Næs

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis

Principal Component Analysis in MCDM: An exercise in pilot selection

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115984 ◽

2022 ◽

Vol 188 ◽

pp. 115984

Author(s):

Zachary Dugger ◽

Gage Halverson ◽

Bernadette McCrory ◽

David Claudio

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Pilot Selection

Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis

Computational Materials Science ◽

10.1016/j.commatsci.2021.110938 ◽

2022 ◽

Vol 202 ◽

pp. 110938

Author(s):

Rasmus Tranås ◽

Ole Martin Løvvik ◽

Oliver Tomic ◽

Kristian Berland

Keyword(s):

Machine Learning ◽

Thermal Conductivity ◽

Density Functional Theory ◽

Principal Component Analysis ◽

Density Functional ◽

Lattice Thermal Conductivity ◽

Principal Component ◽

Component Analysis ◽

Active Sampling ◽

Functional Theory

component analysis
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

The liquor quality recognition using magnetic resonance spectrum based on Kernel principal component analysis and convolutional neural network

Principle component analysis-based optimized feature extraction merged with nonlinear regression model for improved state-of-health prediction

Sparse Functional Principal Component Analysis in High Dimensions

Mapping land subsidence and aquifer system properties of the Willcox Basin, Arizona, from InSAR observations and independent component analysis

Artifact Removal from EEG signals using Regenerative Multi-Dimensional Singular Value Decomposition and Independent Component Analysis

Intelligent decision method of sludge bulking using recursive kernel principal component analysis and Bayesian network

Using temporo-spatial principal component analysis as tool to dissociate latent ERP components of episodic memory retrieval: Objectifying time-window selection for overlapping ERP components

Discriminability and uncertainty in principal component analysis (PCA) of temporal check-all-that-apply (TCATA) data

Principal Component Analysis in MCDM: An exercise in pilot selection

Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis

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component analysisRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

The liquor quality recognition using magnetic resonance spectrum based on Kernel principal component analysis and convolutional neural network

Principle component analysis-based optimized feature extraction merged with nonlinear regression model for improved state-of-health prediction

Sparse Functional Principal Component Analysis in High Dimensions

Mapping land subsidence and aquifer system properties of the Willcox Basin, Arizona, from InSAR observations and independent component analysis

Artifact Removal from EEG signals using Regenerative Multi-Dimensional Singular Value Decomposition and Independent Component Analysis

Intelligent decision method of sludge bulking using recursive kernel principal component analysis and Bayesian network

Using temporo-spatial principal component analysis as tool to dissociate latent ERP components of episodic memory retrieval: Objectifying time-window selection for overlapping ERP components

Discriminability and uncertainty in principal component analysis (PCA) of temporal check-all-that-apply (TCATA) data

Principal Component Analysis in MCDM: An exercise in pilot selection

Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis

component analysis
Recently Published Documents