相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Dynamic latent variable regression for inferential sensor modeling and monitoring
Qinqin Zhu et al.
COMPUTERS & CHEMICAL ENGINEERING (2020)
Testing the difference between spectral densities of two independent periodically correlated (cyclostationary) time series models
Mohammad Reza Mahmoudi et al.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2019)
A new method to compare the spectral densities of two independent periodically correlated time series
Mohammad Reza Mahmoudi et al.
MATHEMATICS AND COMPUTERS IN SIMULATION (2019)
On the asymptotic distribution for the periodograms of almost periodically correlated (cyclostationary) processes
Mohammad Reza Mahmoudi et al.
DIGITAL SIGNAL PROCESSING (2018)
Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data
Ian Barnett et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2018)
A new method to detect periodically correlated structure
Mohammad Reza Mahmoudi et al.
COMPUTATIONAL STATISTICS (2017)
Periodically correlated modeling by means of the periodograms asymptotic distributions
A. R. Nematollahi et al.
STATISTICAL PAPERS (2017)
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression
Xiaofeng Yuan et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
A Framework and Modeling Method of Data-Driven Soft Sensors Based on Semisupervised Gaussian Regression
Weiwu Yan et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2016)
Sensor Data Fusion by Support Vector Regression Methodology-A Comparative Study
Shahaboddin Shamshirband et al.
IEEE SENSORS JOURNAL (2015)
Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for nonlinear multiphase batch processes
Huaiping Jin et al.
COMPUTERS & CHEMICAL ENGINEERING (2014)
Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations
Francisco Serdio et al.
INFORMATION FUSION (2014)
Nonlinear semisupervised principal component regression for soft sensor modeling and its mixture form
Zhiqiang Ge et al.
JOURNAL OF CHEMOMETRICS (2014)
Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression Models
Osman Salem et al.
INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS (2014)
A Comparative Study on Linear Regression-Based Noise Estimation for Hyperspectral Imagery
Lianru Gao et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2013)
Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering
Mustafa Gul et al.
JOURNAL OF SOUND AND VIBRATION (2011)
Adaptive model selection for time series prediction in wireless sensor networks
Yann-Ael Le Borgne et al.
SIGNAL PROCESSING (2007)
Arc sensor model using multiple-regression analysis and a neural network
Y Kim et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2005)
ARMA time series modelling of remote sensing imagery: a new approach for climate change studies
JM Piwowar et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2002)