Zobrazeno 1 - 10
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pro vyhledávání: '"K Distribution"'
Homodyned K-distribution (HK-distribution) parameter estimation in quantitative ultrasound (QUS) has been recently addressed using Bayesian Neural Networks (BNNs). BNNs have been shown to significantly reduce computational time in speckle statistics-
Externí odkaz:
http://arxiv.org/abs/2409.11583
Most evaluations of vision models use indirect methods to assess latent space quality. These methods often involve adding extra layers to project the latent space into a new one. This projection makes it difficult to analyze and compare the original
Externí odkaz:
http://arxiv.org/abs/2408.09065
Akademický článek
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Akademický článek
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While neural networks have been successfully applied to the full-spectrum k-distribution (FSCK) method at a large range of thermodynamics with k-values predicted by a trained multilayer perceptron (MLP) model, the required a-values still need to be c
Externí odkaz:
http://arxiv.org/abs/2403.12993
Radiative heat transfer has been proven to be important during the ignition process in gas turbine. Those radiating gases (CO2, H2O, CO) generated during combustion may display strong spectral, or nongray behavior, which is difficult to both characte
Externí odkaz:
http://arxiv.org/abs/2403.02743
Atmospheric escape is crucial to understand the evolution of planets in and out of the Solar system and to interpret atmospheric observations. While hydrodynamic escape simulations have been actively developed incorporating detailed processes such as
Externí odkaz:
http://arxiv.org/abs/2402.16715
Most examinations of neural networks' learned latent spaces typically employ dimensionality reduction techniques such as t-SNE or UMAP. These methods distort the local neighborhood in the visualization, making it hard to distinguish the structure of
Externí odkaz:
http://arxiv.org/abs/2312.04024
Quantitative ultrasound (QUS) analyzes the ultrasound backscattered data to find the properties of scatterers that correlate with the tissue microstructure. Statistics of the envelope of the backscattered radiofrequency (RF) data can be utilized to e
Externí odkaz:
http://arxiv.org/abs/2401.11006
Autor:
Youn, Jang H.1 (AUTHOR) youn@usc.edu, Gili, Stefania2 (AUTHOR) tefigili@gmail.com, Oh, Youngtaek1 (AUTHOR) mcdonoug@usc.edu, McDonough, Alicia A.1 (AUTHOR), Higgins, John2 (AUTHOR) jahiggin@princeton.edu
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9664. 12p.
