Results 21 to 30 of about 42,084 (260)
A DBN-DEVS Extension for Modeling and Simulate Uncertain Systems
Applied Artificial Intelligence, 2021 In this paper, our goal is to propose a new extension to the Discrete Event System (DEVS) formalism, which is based on Dynamic Bayesian Network (DBN), and this extension will be called DBN-DEVS, which allows to modeling and simulate the uncertain ...
Sid Ahmed Mokhtar Mostefaoui +2 more
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Granger causality vs. dynamic Bayesian network inference: a comparative study
BMC Bioinformatics, 2009 Background In computational biology, one often faces the problem of deriving the causal relationship among different elements such as genes, proteins, metabolites, neurons and so on, based upon multi-dimensional temporal data.
Feng Jianfeng, Zou Cunlu
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Opinion Dynamics with Bayesian Learning
Complexity, 2020 Bayesian learning is a rational and effective strategy in the opinion dynamic process. In this paper, we theoretically prove that individual Bayesian learning can realize asymptotic learning and we test it by simulations on the Zachary network.
Aili Fang +3 more
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Towards an Assembly Support System with Dynamic Bayesian Network
Applied Sciences, 2022 Due to the new technological advancements and the adoption of Industry 4.0 concepts, the manufacturing industry is now, more than ever, in a continuous transformation.
Stefan-Alexandru Precup +4 more
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Bayesian Learning of Dynamic Multilayer Networks
J. Mach. Learn. Res., 2016 A plethora of networks is being collected in a growing number of fields, including disease transmission, international relations, social interactions, and others. As data streams continue to grow, the complexity associated with these highly multidimensional connectivity data presents novel challenges.
DURANTE, DANIELE +2 more
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Machines, 2021 The reliability and cost-effectiveness of energy conversion in gas turbine systems are strongly dependent on an accurate diagnosis of possible process and sensor anomalies.
Valentina Zaccaria +2 more
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Filtering in hybrid dynamic Bayesian networks [PDF]
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 We demonstrate experimentally that inference in a complex hybrid dynamic Bayesian network (DBN) is possible using the 2-time slice DBN (2T-DBN) from (D. Koller et al., Sequential Monte Carlo Methods in Practice: p.445-464, Springer-Verlag, NY, 2000) to model fault detection in a watertank system.
Andersen, Morten Nonboe +2 more
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The engineering skills training process modeling using dynamic bayesian nets
Радіоелектронні і комп'ютерні системи, 2021 The subject of research in the article is the process of intelligent computer training in engineering skills. The aim is to model the process of teaching engineering skills in intelligent computer training programs through dynamic Bayesian networks ...
Andrey Chukhray, Olena Havrylenko
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Applied Sciences, 2022 Because deep foundation pits and tunnels are deformation-sensitive structures, the safety of these projects is generally affected by coupled risks. In deep foundation pit construction, if the existing tunnel structure adjacent to the deposit is damaged ...
Jie Jiang, Guangyang Liu, Xiaoduo Ou
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A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network
Geofluids, 2020 In view of the shortcomings in the risk assessment of deep-buried tunnels, a dynamic risk assessment method based on a Bayesian network is proposed. According to case statistics, a total of 12 specific risk rating factors are obtained and divided into ...
Yan Wang +5 more
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