Results 21 to 30 of about 15,549,974 (248)
Investigating effects from restricted diffusion in multi-component diffusion data [PDF]
, 2014 We have investigated model systems in which effects from non-Gaussian restricted diffusion could be separated from effects caused by multiple diffusion coefficients. We applied various models to analyze the experimental data.
Pavlin, Tina, Seland, John Georg
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A Comprehensive Survey on Diffusion Model-Driven 3D Reconstruction: Methods, Datasets, and Prospects
ISPRS International Journal of Geo-InformationThree-dimensional (3D) reconstruction serves as a key technology bridging the real and digital worlds, with broad application in remote sensing, autonomous driving, and robotics.
Qianwen Yao +5 more
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Physical Review E, 2008 We study here the random diffusion model. This is a continuum model for a conserved scalar density field $ϕ$ driven by diffusive dynamics. The interesting feature of the dynamics is that the {\it bare} diffusion coefficient $D$ is density dependent. In the simplest case $D=\bar{D}+D_{1}δϕ$ where $\bar{D}$ is the constant average diffusion constant.
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MathematicsIn this study, we introduce a novel model, the Combined Model, composed of a conditional denoising diffusion model (SR3) and an enhanced residual network (EResNet), for reconstructing high-resolution turbulent flow fields from low-resolution flow data ...
Jiaheng Qi, Hongbing Ma
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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Generative models such as Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) are widely utilized to model the generative process of user interactions. However, these generative models suffer from intrinsic limitations such as the instability of GANs and the restricted representation ability of VAEs.
Wenjie Wang 0007 +5 more
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DENOISING DIFFUSION PROBABILISTIC MODEL WITH WAVELET PACKET TRANSFORM FOR FINGERPRINT GENERATION
Jordanian Journal of Computers and Information TechnologyThe majority of contemporary fingerprint synthesis is based on the Generative Adversarial Network (GAN). Recently, the Denoising Diffusion Probabilistic Model (DDPM) has been demonstrated to be more effective than GAN in numerous scenarios, particularly ...
LI CHEN, YONG HUAH CHAN
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Arsenic diffusivity study by comparison of post-Surface and post-implant diffusion in silicon with Local Density Diffusion (LDD-) model approximation [PDF]
, 2011 The LDD model was first applied to Arsenic concentration profiles determined in surface diffusion experiments by Yoshida and Arai [1]. The new method presented is based on a mathematical convolution with a delta-function-like concentration profile.
Wirbeleit, Frank
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A fractal based model of diffusion MRI in cortical grey matter [PDF]
, 2009 Diffusion Weighted Magnetic Resonance (DWMR) Imaging is an important tool in diagnostic neuroimaging, but the biophysical basis of the DWMR signal from biological tissue is not entirely understood. Testable, theoretical models relating the DWMR signal to
Hansen, Brian +2 more
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Meitan xuebaoClarifying the internal relationship between pore structure and methane adsorption and diffusion in coal is the basis for quantitative evaluation of methane desorption.
Yuanping CHENG, Minghao YI, Liang WANG
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