Results 41 to 50 of about 39,041 (304)

Reliability Evaluation Methodology of Complex Systems Based on Dynamic Object-Oriented Bayesian Networks

open access: yesIEEE Access, 2018
A novel reliability evaluation methodology of complex systems is proposed using dynamic object-oriented Bayesian networks (DOOBNs). This modeling methodology consists of two main phases, namely, construction phases for object-oriented Bayesian networks ...
Xiaobing Yuan   +6 more
doaj   +1 more source

A Random Traffic Assignment Model for Networks Based on Discrete Dynamic Bayesian Algorithms

open access: yesDiscrete Dynamics in Nature and Society, 2022
In this paper, a stochastic traffic assignment model for networks is proposed for the study of discrete dynamic Bayesian algorithms. In this paper, we study a feasible method and theoretical system for implementing traffic engineering in networks based ...
Wei Zhou
doaj   +1 more source

Dynamic Bayesian Networks for Musical Interaction [PDF]

open access: yes, 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
openaire   +2 more sources

Reliability based rehabilitation of water distribution networks by means of Bayesian networks

open access: yesJournal 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
doaj   +1 more source

Cerebral modeling and dynamic Bayesian networks [PDF]

open access: yesArtificial 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
openaire   +3 more sources

Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]

open access: yes, 2011
This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Jinchang Ren   +11 more
core   +1 more source

Gene networks inference using dynamic Bayesian networks [PDF]

open access: yesBioinformatics, 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
openaire   +3 more sources

Towards data-centric control of sensor networks through Bayesian dynamic linear modelling

open access: yes, 2015
Wireless sensor networks usually operate in dynamic, stochastic environments. While the behaviour of individual nodes is important, they are better seen as contributors to a larger mission, and managing the sensing quality and performance of these ...
Dobson, Simon Andrew   +3 more
core   +1 more source

Improved inference of gene regulatory networks through integrated Bayesian clustering and dynamic modeling of time-course expression data. [PDF]

open access: yesPLoS ONE, 2013
Inferring gene regulatory networks from expression data is difficult, but it is common and often useful. Most network problems are under-determined--there are more parameters than data points--and therefore data or parameter set reduction is often ...
Brian Godsey
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy