Brunel University Research Archive: Search

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Issue Date	Title	Author(s)
2012	A hybrid EKF and switching PSO algorithm for joint state and parameter estimation of lateral flow immunoassay models	Zeng, N; Wang, Z; Li, Y; Du, M; Liu, X
2016	Inferring nonlinear lateral flow immunoassay state-space models via an unscented Kalman filter	Zeng, N; Wang, Z; Zhang, H
2013	A novel neural network approach to cDNA microarray image segmentation	Wang, Z; Zineddin, B; Liang, J; Zeng, N; Li, Y; Du, M; Cao, J; Liu, X
2014	Image-based quantitative analysis of gold immunochromatographic strip via cellular neural network approach	Zeng, N; Wang, Z; Zineddin, B; Li, Y; Du, M; Xiao, L; Liu, X; Young, T
2016	Deep belief networks for quantitative analysis of a gold immunochromatographic strip	Zeng, N; Wang, Z; Zhang, H; Liu, W; Alsaadi, FE
2017	A survey of deep neural network architectures and their applications	Liu, W; Wang, Z; Liu, X; Zeng, N; Liu, Y; Alsaadi, FE
2012	Identification of nonlinear lateral flow immunoassay state-space models via particle filter approach	Zeng, N; Wang, Z; Li, Y; Du, M; Liu, X
2011	Inference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filtering	Zeng, N; Wang, Z; Li, Y; Du, M; Liu, X
2016	A novel switching delayed PSO algorithm for estimating unknown parameters of lateral flow immunoassay	Zeng, N; Wang, Z; Zhang, H; Alsaadi, FE
2011	Inference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filtering	Zeng, N; Wang, Z; Li, Y; Du, M; Liu, X