Title | ||
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Time Series Modeling of Nano-gold Immunochromatographic Assay via Expectation Maximization Algorithm. |
Abstract | ||
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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 Zeng | 1 | 278 | 21.91 |
Zidong Wang | 2 | 11003 | 578.11 |
Yurong Li | 3 | 234 | 16.14 |
Min Du | 4 | 143 | 14.67 |
Jie Cao | 5 | 627 | 73.36 |
Xiaohui Liu | 6 | 5042 | 269.99 |