Results 31 to 40 of about 235,639 (329)
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 ...
Labatut, Vincent +4 more
openaire +3 more sources
Articulatory feature recognition using dynamic Bayesian networks [PDF]
Computer Speech & Language, 2004 We describe a dynamic Bayesian network for articulatory feature recognition. The model is intended to be a component of a speech recognizer that avoids the problems of conventional ''beads-on-a-string'' phoneme-based models. We demonstrate that the model gives superior recognition of articulatory features from the speech signal compared with a state-of-
Frankel, Joe +2 more
openaire +4 more sources
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
doaj +1 more source
Structural reliability prediction of a steel bridge element using dynamic object oriented Bayesian Network (DOOBN) [PDF]
, 2011 Different from conventional methods for structural reliability evaluation, such as, first/second-order reliability methods (FORM/SORM) or Monte Carlo simulation based on corresponding limit state functions, a novel approach based on dynamic objective ...
Ma, Lin +3 more
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Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks [PDF]
, 2018 The pattern of sleep stages across a night (sleep architecture) is influenced by biological, behavioral, and clinical variables. However, traditional measures of sleep architecture such as stage proportions, fail to capture sleep dynamics.
Cellini, Nicola +4 more
core +2 more sources
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
doaj +1 more source
Examining the dynamics of macroeconomic indicators and banking stock returns with bayesian networks [PDF]
, 2019 According to the modern portfolio theory, the direction of the relationship between the securities in the portfolio is stated to be effective in reducing the risk. Moreover, securities in high correlation are avoided by taking place in the same portfolio.
Fatma Busem, Hatipoğlu, Uyar, Umut
core +1 more source
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
doaj +1 more source
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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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
doaj +1 more source