scholarly journals Time-varying dynamic Bayesian network model and its application to brain connectivity using electrocorticograph

2016 ◽  
Vol 65 (3) ◽  
pp. 038702
Author(s):  
Guo Miao-Miao ◽  
Wang Yu-Jing ◽  
Xu Gui-Zhi ◽  
Griffin Milsap ◽  
Nitish V. Thakor ◽  
...  
Author(s):  
Mariia Voronenko ◽  
Dmytro Nikytenko ◽  
Jan Krejci ◽  
Nataliia Krugla ◽  
Oleksandr Naumov ◽  
...  

2021 ◽  
Vol 257 ◽  
pp. 02047
Author(s):  
Zhen Tian ◽  
Jinhua Fan ◽  
Qianqian Chen ◽  
Huaichen Hu ◽  
Yanyang Shen

There are many risk factors and large uncertainties in expressway nighttime maintenance construction(ENMC), and the state of risk factors will change dynamically with time. In this study, a Dynamic Bayesian Network (DBN) model was proposed to investigate the dynamic characteristics of the time-varying probability of traffic accidents during expressway maintenance at night. Combined with Leaky Noisy-or gate extended model, the calculation method of conditional probability is determined . By setting evidences for DBN reasoning, the time series change curve of the probability of traffic accidents and other risk factors are obtained. The results show that DBN can be applied to risk assessment of ENMC.


2008 ◽  
Vol 128 (12) ◽  
pp. 1789-1796 ◽  
Author(s):  
Ji-Sun Shin ◽  
Noriyuki Takazaki ◽  
Tae-Hong Lee ◽  
Jin-Il Kim ◽  
Hee-Hyol Lee

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