Results 31 to 40 of about 42,084 (260)
Journal of Asian Architecture and Building Engineering, 2021 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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Reliability Analysis of Vehicle Braking System Based on Hyperellipsoidal Dynamic Bayesian Network
Applied SciencesBrake systems are subjected to various factors such as wear and fatigue over a long period of time. They bring a great challenge to the reliability analysis of the braking system.
Yingjie Tian, Jing Wen, Shubin Zheng
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Reliability based rehabilitation of water distribution networks by means of Bayesian networks
Journal of Water and Land Development, 2017 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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Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data. [PDF]
PLoS ONE, 2017 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]
, 2017 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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Network intrusion intention analysis model based on Bayesian attack graph
Tongxin xuebao, 2020 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
IEEE Access, 2021 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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Cerebral modeling and dynamic Bayesian networks [PDF]
Artificial Intelligence in Medicine, 2004 The understanding and the prediction of the clinical outcomes of focal or degenerative cerebral lesions, as well as the assessment of rehabilitation procedures, necessitate knowing the cerebral substratum of cognitive or sensorimotor functions. This is achieved by activation studies, where subjects are asked to perform a specific task while data of ...
Vincent Labatut +4 more
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HyPE: Online Hybrid Pseudo-Bayesian Estimation Method for S-ALOHA-Based Tactical FANETs
IEEE AccessSignificant 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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Gene networks inference using dynamic Bayesian networks [PDF]
Bioinformatics, 2003 Abstract This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactions capable of handling missing variables is proposed.
Bruno-Edouard Perrin +5 more
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