scholarly journals Dynamic Bayesian Network Modeling of Hippocampal Subfields Connectivity with 7T fMRI: A Case Study

Author(s):  
Fernando P. Santos ◽  
Stephen F. Smagula ◽  
Helmet Karim ◽  
Tales S. Santini ◽  
Howard J. Aizenstein ◽  
...  
2020 ◽  
Vol 12 (2) ◽  
pp. 505
Author(s):  
Sangsung Park ◽  
Sunghae Jun

At present, artificial intelligence (AI) contributes to most technological fields. AI has also been introduced in the disaster area to replace humans and contribute to the prevention of disasters and the minimization of damages. So, it is necessary to analyze disaster AI in order to effectively make use of it. In this paper, we analyze the patent documents related to disaster AI technology. We propose Bayesian network modeling and factor analysis for the technology analysis of disaster AI. This is based on probability distribution and graph theory. It is also a statistical model that depends on multivariate data analysis. In order to show how the proposed model can be applied to a real problem, we carried out a case study to collect and analyze the patent data related to disaster AI.


NeuroImage ◽  
2008 ◽  
Vol 41 (2) ◽  
pp. 398-407 ◽  
Author(s):  
Junning Li ◽  
Z. Jane Wang ◽  
Samantha J. Palmer ◽  
Martin J. McKeown

NeuroImage ◽  
2012 ◽  
Vol 59 (3) ◽  
pp. 2330-2338 ◽  
Author(s):  
Rong Chen ◽  
Susan M. Resnick ◽  
Christos Davatzikos ◽  
Edward H. Herskovits

PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0142646 ◽  
Author(s):  
Holger Fröhlich ◽  
Gloria Bahamondez ◽  
Frank Götschel ◽  
Ulrike Korf

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