Results 21 to 30 of about 5,728,670 (281)
Modeling dynamic reliability using dynamic Bayesian networks [PDF]
, 2006 This paper considers the problem of modeling and analyzing the reliability of a system or a component (system) where the state of the system and the state of process variables influences each other in addition to an exogenous perturbation influence: this
Noyes, Daniel, Tchangani, Ayeley
core +1 more source
Relational Dynamic Bayesian Networks
Journal of Artificial Intelligence Research, 2005 Stochastic processes that involve the creation of objects and relations over time are widespread, but relatively poorly studied. For example, accurate fault diagnosis in factory assembly processes requires inferring the probabilities of erroneous assembly operations, but doing this efficiently and accurately is difficult.
Pedro M. Domingos +2 more
openaire +5 more sources
Probabilistic Prognosis with Dynamic Bayesian Networks
International Journal of Prognostics and Health Management, 2015 This paper proposes a methodology for probabilistic prognosis of a system using a dynamic Bayesian network (DBN). Dynamic Bayesian networks are suitable for probabilistic prognosis because of their ability to integrate information in a variety of formats
Gregory Bartram, Sankaran Mahadevan
doaj +1 more source
Modeling of Wastewater Treatment Processes Using Dynamic Bayesian Networks Based on Fuzzy PLS
IEEE Access, 2020 The complicated characteristics of wastewater treatment plants (WWTPs) significantly hinder the monitoring of industrial processes, and thus much attention has been paid to process modeling and prediction.
Hongbin Liu +4 more
doaj +1 more source
Dynamic Bayesian inference method for structural fatigue crack propagation based on particle filter
Hangkong gongcheng jinzhan, 2023 Accurately predicting the fatigue crack propagation process of aircraft structure is the basis for conducting life monitoring and residual life estimation of individual aircraft.
QI Xin +4 more
doaj +1 more source
Applied Sciences, 2023 Urban roads face significant challenges from the unpredictable and destructive characteristics of natural or man-made disasters, emphasizing the importance of modeling and evaluating their resilience for emergency management. Resilience is the ability to
Gang Yu +3 more
doaj +1 more source
Frontiers in Psychology, 2022 An overarching mission of the educational assessment community today is strengthening the connection between assessment and learning. To support this effort, researchers draw variously on developments across technology, analytic methods, assessment ...
Younyoung Choi, Robert J. Mislevy
doaj +1 more source
Asynchronous Dynamic Bayesian Networks
CoRR, 2012 Systems such as sensor networks and teams of autonomous robots consist of multiple autonomous entities that interact with each other in a distributed, asynchronous manner. These entities need to keep track of the state of the system as it evolves.
Avi Pfeffer, Terry Tai
openaire +3 more sources
Bayesian Inference of Stochastic Dynamical Networks
CoRR, 2022 Network inference has been extensively studied in several fields, such as systems biology and social sciences. Learning network topology and internal dynamics is essential to understand mechanisms of complex systems. In particular, sparse topologies and stable dynamics are fundamental features of many real-world continuous-time (CT) networks.
Yasen Wang +2 more
openaire +3 more sources
Fourier Bayesian networks: A novel approach for network structure inference with application to brain connectivity studies from magnetoencephalographic recordings [PDF]
, 2012 This thesis proposes a novel approach for connectivity studies in Electrophysiology and Neuroimaging based on Bayesian Network (BN) analysis in the Fourier domain that is named Fourier Bayesian Networks (FBNs). FBNs use the complex information available
Peraza Rodriguez, Luis Ramon
core +6 more sources