Results 41 to 50 of about 235,639 (329)
Reliability based rehabilitation of water distribution networks by means of Bayesian networks
Water plays an essential role in the everyday lives of the people. To supply subscribers with good quality of water and to ensure continuity of service, the operators use water distribution networks (WDN). The main elements of water distribution network (
Lakehal Abdelaziz, Laouacheria Fares
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The occupational safety risk of high-altitude fall accident in architecture construction engineering is dynamically changeable. Considering these dynamic changes, how to make a qualitative and quantitative analysis of the changing trends of the ...
Xiao-Ping Bai, Yu-Hong Zhao
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Network intrusion intention analysis model based on Bayesian attack graph
Aiming at the problem of ignoring the impact of attack cost and intrusion intention on network security in the current network risk assessment model,in order to accurately assess the target network risk,a method of network intrusion intention analysis ...
Zhiyong LUO, Xu YANG, Jiahui LIU, Rui XU
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Dynamic Bayesian Network Modeling, Learning, and Inference: A Survey
Since the introduction of Dynamic Bayesian Networks (DBNs), their efficiency and effectiveness have increased through the development of three significant aspects: (i) modeling, (ii) learning and (iii) inference.
Pedro Shiguihara +2 more
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Bayesian topology identification of linear dynamic networks
In networks of dynamic systems, one challenge is to identify the interconnection structure on the basis of measured signals. Inspired by a Bayesian approach in [1], in this paper, we explore a Bayesian model selection method for identifying the ...
chickering, hendrickx, kuppinger, ljung
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HyPE: Online Hybrid Pseudo-Bayesian Estimation Method for S-ALOHA-Based Tactical FANETs
Significant challenges are involved in tactical flying ad-hoc network (FANET) missions because network environments are very dynamic. In addition, energy-efficient network operation is important in tactical FANETs owing to the limited capacity of the on ...
Jimin Jeon +7 more
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Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data. [PDF]
Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell.
Zahra Narimani +4 more
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Dynamic Bayesian Networks for Musical Interaction [PDF]
We describe in this chapter a consistent set of temporal models that we have developed over the years for analyzing movement in real-time musical interaction. These models are probabilistic and can be unified and generalized under the formalism of dynamic Bayesian networks (DBNs).
Caramiaux, Baptiste +2 more
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Gait Type Analysis Using Dynamic Bayesian Networks [PDF]
This paper focuses on gait abnormality type identification—specifically, recognizing antalgic gait. Through experimentation, we demonstrate that detecting an individual’s gait type is a viable biometric that can be used along with other common biometrics for applications such as forensics.
Patrick Kozlow +2 more
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Bayesian dynamic financial networks with time-varying predictors
We propose a Bayesian nonparametric model including time-varying predictors in dynamic network inference. The model is applied to infer the dependence structure among financial markets during the global financial crisis, estimating effects of verbal and ...
Dunson, David B., Durante, Daniele
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