Alarm processing with model-based diagnosis of event discrete systems

Author(s):  
Andreas Bauer ◽  
Adi Botea ◽  
Alban Grastien ◽  
Patrik Haslum ◽  
Jussi Rintanen
2006 ◽  
Vol 39 (2) ◽  
pp. 585-590
Author(s):  
João F.M. Gândara ◽  
Belmiro P.M. Duarte ◽  
Nuno M.C. Oliveira

Author(s):  
L. Gheorghe ◽  
F. Bouchhima ◽  
G. Nicolescu ◽  
H. Boucheneb
Keyword(s):  

2013 ◽  
Vol 28 (3) ◽  
pp. 2584-2591 ◽  
Author(s):  
Catherine Joyce Edwards ◽  
Euan M. Davidson ◽  
Stephen D. J. McArthur ◽  
Ian Watt ◽  
Tom Cumming

2015 ◽  
Vol 28 (1) ◽  
pp. 251-264 ◽  
Author(s):  
Lanning Wang ◽  
Weiqun Wang ◽  
Jingbo Gao ◽  
Weimin Chen

Author(s):  
L. Gheorghe ◽  
F. Bouchhima ◽  
G. Nicolescu ◽  
H. Boucheneb
Keyword(s):  

2010 ◽  
Vol 25 (4) ◽  
pp. 2435-2447 ◽  
Author(s):  
Wenxin Guo ◽  
Fushuan Wen ◽  
Zhiwei Liao ◽  
Liuhong Wei ◽  
Jianbo Xin

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.


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