Results 221 to 230 of about 7,371,142 (245)
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Traffic congestion propagation inference using dynamic Bayesian graph convolution network

Transportation Research Part C: Emerging Technologies, 2022
Ruimin Ke, Zhou Huang, Sen Luan
exaly  

Dynamic and Temporal Bayesian Networks

2015
Dynamic Bayesian network models extend BNs to represent the temporal evolution of a certain process. There are two basic types of Bayesian network models for dynamic processes: state based and event based. Dynamic Bayesian networks are state-based models that represent the state of each variable at discrete time intervals.
openaire   +1 more source

Dynamic Bayesian Network for Predicting Tunnel-Collapse Risk in the Case of Incomplete Data

Journal of Performance of Constructed Facilities, 2022
Bo Wu, Jie Jiang, Jie Jiang
exaly  

A quantitative framework for network resilience evaluation using Dynamic Bayesian Network

Computer Communications, 2022
Yuyang Zhou   +2 more
exaly  

Dynamic availability assessment of safety critical systems using a dynamic Bayesian network

Reliability Engineering and System Safety, 2018
Syed Imtiaz, Md Tanjin Amin
exaly  

Fault detection and pathway analysis using a dynamic Bayesian network

Chemical Engineering Science, 2019
Syed Imtiaz, Md Tanjin Amin
exaly  

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