Results 71 to 80 of about 39,041 (304)
Multisensory integration using dynamical Bayesian networks [PDF]
Frontiers in Computational Neuroscience, 2015 Multisensory Integration (MSI) is the study of how information coming from different sensory modalities, such as vision, audition and etc. are being integrated by the nervous system (Stein et al., 2009) as a complex system. MSI is one of the most important aspects of neuroscience which has a great influence on our decision making system. It plays a key
Taher Abbas Shangari +3 more
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Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
A Bayesian Network Based Adaptability Design of Product Structures for Function Evolution
Applied Sciences, 2018 Structure adaptability design is critical for function evolution in product families, in which many structural and functional design factors are intertwined together with manufacturing cost, customer satisfaction, and final market sales. How to achieve a
Shaobo Li +4 more
doaj +1 more source
Optimal Population Coding for Dynamic Input by Nonequilibrium Networks
Entropy, 2022 The efficient coding hypothesis states that neural response should maximize its information about the external input. Theoretical studies focus on optimal response in single neuron and population code in networks with weak pairwise interactions. However,
Kevin S. Chen
doaj +1 more source
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters [PDF]
, 2012 To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes.
Husmeier, D., Grzegorczyk, M.
core
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Applying dynamic Bayesian networks to perturbed gene expression data
BMC Bioinformatics, 2006 Background A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics, allowing to deal with the stochastic aspects of gene expressions and noisy ...
Wilczyński Bartek +4 more
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Reliability and Service Life Analysis of Airbag Systems
Mathematics, 2023 Airbag systems are important to a car’s safety protection system. To further improve the reliability of the system, this paper analyzes the failure mechanism of automotive airbag systems and establishes a dynamic fault tree model.
Hongyan Dui, Jiaying Song, Yun-an Zhang
doaj +1 more source
Independence Decomposition in Dynamic Bayesian Networks [PDF]
, 2007 Dynamic Bayesian networks are a special type of Bayesian network that explicitly incorporate the dimension of time. They can be distinguished into repetitive and non-repetitive networks. Repetitiveness implies that the set of random variables of the network and their independence relations are the same at each time step.
Flesch, I., Lucas, Peter
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Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source