Modeling the stochastic mechanism of sensor using a hybrid method based on seasonal autoregressive integrated moving average time series and generalized estimating equations

Dynamic latent variable regression for inferential sensor modeling and monitoring

(2020) Qinqin Zhu et al.   COMPUTERS & CHEMICAL ENGINEERING

On the asymptotic distribution for the periodograms of almost periodically correlated (cyclostationary) processes

(2018) Mohammad Reza Mahmoudi et al.   DIGITAL SIGNAL PROCESSING

Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data

(2018) Ian Barnett et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Testing the difference between spectral densities of two independent periodically correlated (cyclostationary) time series models

(2018) Mohammad Reza Mahmoudi et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

A new method to compare the spectral densities of two independent periodically correlated time series

(2018) Mohammad Reza Mahmoudi et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

A new method to detect periodically correlated structure

(2016) Mohammad Reza Mahmoudi et al.   COMPUTATIONAL STATISTICS

A Framework and Modeling Method of Data-Driven Soft Sensors Based on Semisupervised Gaussian Regression

(2016) Weiwu Yan et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Periodically correlated modeling by means of the periodograms asymptotic distributions

(2016) A. R. Nematollahi et al.   STATISTICAL PAPERS

Sensor Data Fusion by Support Vector Regression Methodology—A Comparative Study

(2015) Shahaboddin Shamshirband et al.   IEEE SENSORS JOURNAL

Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for nonlinear multiphase batch processes

(2014) Huaiping Jin et al.   COMPUTERS & CHEMICAL ENGINEERING

Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations

(2014) Francisco Serdio et al.   Information Fusion

Nonlinear semisupervised principal component regression for soft sensor modeling and its mixture form

(2014) Zhiqiang Ge et al.   JOURNAL OF CHEMOMETRICS

A Comparative Study on Linear Regression-Based Noise Estimation for Hyperspectral Imagery

(2013) Lianru Gao et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering

(2010) Mustafa Gul et al.   JOURNAL OF SOUND AND VIBRATION