Title
Time Series Modeling of Nano-gold Immunochromatographic Assay via Expectation Maximization Algorithm.
Abstract
In this paper, the expectation maximization (EM) algorithm is applied to the modeling of the nano-gold immunochromatographic assay (nano-GICA) via available time series of the measured signal intensities of the test and control lines. The model for the nano-GICA is developed as the stochastic dynamic model that consists of a first-order autoregressive stochastic dynamic process and a noisy measure...
Year
DOI
Venue
2013
10.1109/TBME.2013.2260160
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Time series analysis,Noise measurement,Data models,Computational modeling,Heuristic algorithms,Stochastic processes,Noise
Time series modeling,Autoregressive model,Time series,Computer vision,Mathematical optimization,Noise intensity,Computer science,Expectation–maximization algorithm,Algorithm,Stochastic process,Artificial intelligence,Metal nanoparticles
Journal
Volume
Issue
ISSN
60
12
0018-9294
Citations 
PageRank 
References 
10
0.60
5
Authors
6
Name
Order
Citations
PageRank
Nianyin Zeng127821.91
Zidong Wang211003578.11
Yurong Li323416.14
Min Du414314.67
Jie Cao562773.36
Xiaohui Liu65042269.99