Results 51 to 60 of about 26,356,550 (281)

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno, Matteo Conti, Ettore Dolcetti, Federica Azzolini, Angela Borrelli, Roberta Fantozzi, Mario Stampanoni Bassi, Giovanni Galifi, Giuseppe Maccarrone, Luca Montaguti, Marco Cervigni, Maddalena Dal Pozzo, Roberto Furlan, Annamaria Finardi, Girolama Alessandra Marfia, Marco Salvetti, Antonella Conte, Fabio Buttari, Diego Centonze, Luana Gilio   +19 more
wiley   +1 more source

High Quality Microblog Extraction Based on Kernel Principal Component Analysis and Wavelet Transformation [PDF]

Jisuanji gongcheng, 2016
Massive social event relevant messages are generated in online social media,which makes the filtering and screening of them be a challenge.In order to obtain massages with high quality,a high quality information extraction framework based on Kernel ...
PENG Min,FU Hui,HUANG Jimin,HUANG Jiajia,LIU Jiping
doaj   +1 more source

Fault Detection and Identification Based on Explicit Polynomial Mapping and Combined Statistic in Nonlinear Dynamic Processes

IEEE Access, 2021
Single traditional multivariate statistical monitoring methods, such as principal component analysis (PCA) and canonical variate analysis (CVA), are less effective in nonlinear dynamic processes.
Liangliang Shang, Kexin Shi, Chen Ma, Aibing Qiu, Liang Hua   +4 more
doaj   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model

Advances in Mechanical Engineering, 2016
To effectively extract the typical features of the bearing, a new method that related the local mean decomposition Shannon entropy and improved kernel principal component analysis model was proposed.
Jinlu Sheng, Shaojiang Dong, Zhu Liu, Haowei Gao   +3 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Face Recognition System Based on Kernel Principle Component Analysis and Fuzzy-Support Vector Machine

Tikrit Journal of Pure Science, 2018
In recent year, Face recognition system has taken much attention and used for different types of purposes for instance web application authentication, online investment and banking, mobile authentication, smart home security, virtual reality, database ...
Harith A. Hussein
doaj   +1 more source

Nonlinear Fault Detection of Batch Processes Using Functional Local Kernel Principal Component Analysis

IEEE Access, 2020
In order to guarantee and improve the product quality, the data-driven fault detection technique has been widely used in industry. For three-way datasets of batch process in industry process (i.e., batch × variable × time), a novel method ...
Fei He, Zhiyan Zhang
doaj   +1 more source

Face Recognition Algorithm Fused Kernel Principal Component Analysis and Minimum Distance Discriminant Projection [PDF]

Jisuanji gongcheng, 2016
By fusing Kernel Principal Component Analysis(KPCA) and Minimum Distance Projection(MDP),a new method based on the original minimum distance differential projection is developed to address the face recognition problem.Different from the classical minimum-
LIU Jun,HUANG Yanqi,XIONG Bangshu
doaj   +1 more source

An iterative algorithm for robust kernel principal component analysis [PDF]

Neurocomputing, 2011
We introduce a technique to improve iterative kernel principal component analysis (KPCA) robust to outliers due to undesirable artifacts such as noises, alignment errors, or occlusion. The proposed iterative robust KPCA (rKPCA) links the iterative updating and robust estimation of principal directions.
Hsin-Hsiung Huang, Yi-Ren Yeh
openaire   +2 more sources