Results 261 to 270 of about 8,073,665 (296)
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Model for Heterogeneous Diffusion
SIAM Journal on Applied Mathematics, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yong-Jung Kim, Hyowon Seo
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Rouse model in crowded environment modeled by “diffusing diffusivity”
Physica A: Statistical Mechanics and its Applications, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ahamad, Nabi, Debnath, Pallavi
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Models of technology diffusion
Research Policy, 2000Abstract The literature on new technology diffusion is vast, and it spills over many conventional disciplinary boundaries. This paper surveys the literature by focusing on alternative explanations of the dominant stylized fact: that the usage of new technologies over time typically follows an S-curve.
P A Geroski
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Modelling diffusion and replacement
European Journal of Operational Research, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Towhidul Islam, Nigel Meade
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Science of The Total Environment, 1985
A mathematical model has been developed that examines the ingress of radon into houses, through a vertical crack in an otherwise impervious concrete floor. Initially, the model considered the diffusive flow of radon from its soil source and this simulation has highlighted the dependency of the flux of radon into the house on the magnitude of various ...
P, Wilkinson, P J, Dimbylow
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A mathematical model has been developed that examines the ingress of radon into houses, through a vertical crack in an otherwise impervious concrete floor. Initially, the model considered the diffusive flow of radon from its soil source and this simulation has highlighted the dependency of the flux of radon into the house on the magnitude of various ...
P, Wilkinson, P J, Dimbylow
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2017
In 1950, van Roosbroeck introduced the fundamental semiconductor device equations as a system of three nonlinearly coupled partial differential equations (PDEs). They describe the semiclassical transport of free electrons and holes in a self-consistent electric field using a drift-diffusion approximation.
Farrell P. +5 more
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In 1950, van Roosbroeck introduced the fundamental semiconductor device equations as a system of three nonlinearly coupled partial differential equations (PDEs). They describe the semiclassical transport of free electrons and holes in a self-consistent electric field using a drift-diffusion approximation.
Farrell P. +5 more
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Operations Research, 1960
In attempting to investigate the attrition of a large target complex (raid) caused by attacking manned or unmanned interceptors, the analogy to the diffusion of electrons or neutrons in suitable media, or similarly, radiation transport in a stellar atmosphere, suggests itself.
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In attempting to investigate the attrition of a large target complex (raid) caused by attacking manned or unmanned interceptors, the analogy to the diffusion of electrons or neutrons in suitable media, or similarly, radiation transport in a stellar atmosphere, suggests itself.
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2019
Market prices of financial assets often show jumps caused by unpredictable events or news. The market closing-opening is also a source of price jumps. The pure Brownian motion based diffusion models do not admit large asset price move in a short period of time. Adding jumps to diffusion can show skewed distributions with fat tail which are difficult to
Raymond H. Chan +3 more
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Market prices of financial assets often show jumps caused by unpredictable events or news. The market closing-opening is also a source of price jumps. The pure Brownian motion based diffusion models do not admit large asset price move in a short period of time. Adding jumps to diffusion can show skewed distributions with fat tail which are difficult to
Raymond H. Chan +3 more
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Proceedings of the AAAI Conference on Artificial Intelligence
Diffusion Models (DMs) offer robust tools for addressing uncertainty and enhancing adaptability in robotics. This work explores their application to trajectory generation, 3D image synthesis, and interpretable scene understanding. For trajectory planning, we propose using colored Gaussian noise to improve robustness and temporal coherence.
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Diffusion Models (DMs) offer robust tools for addressing uncertainty and enhancing adaptability in robotics. This work explores their application to trajectory generation, 3D image synthesis, and interpretable scene understanding. For trajectory planning, we propose using colored Gaussian noise to improve robustness and temporal coherence.
openaire +1 more source