Model-based sparse source identification

Author(s):  
Reza Khodayi-mehr ◽  
Wilkins Aquino ◽  
Michael M. Zavlanos
Author(s):  
Luke Calkins ◽  
Reza Khodayi-mehr ◽  
Wilkins Aquino ◽  
Michael M. Zavlanos

2019 ◽  
Vol 35 (3) ◽  
pp. 633-652 ◽  
Author(s):  
Reza Khodayi-mehr ◽  
Wilkins Aquino ◽  
Michael M. Zavlanos

2013 ◽  
Vol 798-799 ◽  
pp. 333-336 ◽  
Author(s):  
Ai Hua Xu ◽  
Chen Guang Xue ◽  
Jian Jun Xu

Brittleness source identification is the work of finding every brittle source. The key of analysis of the brittleness of system is to build the brittle model. The chart theory can describe the direction and weigh of the brittle spread model. In this paper, bring forward the method and step of building the brittle model based on the chart theory, build a model of 7 nodes electric power system and analyze it and then obtain the hierarchy electric power system brittle model and the brittle source, and at last verify this method is valid to network system.


Author(s):  
Luke Calkins ◽  
Reza Khodayi-mehr ◽  
Wilkins Aquino ◽  
Michael Zavlanos

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.


Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery

Author(s):  
Jonathan Jacky ◽  
Margus Veanes ◽  
Colin Campbell ◽  
Wolfram Schulte
Keyword(s):  

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