Results 1 to 10 of about 1,985,761 (312)
Machine learning–accelerated computational fluid dynamics [PDF]
Significance Accurate simulation of fluids is important for many science and engineering problems but is very computationally demanding. In contrast, machine-learning models can approximate physics very quickly but at the cost of accuracy.
Dmitrii Kochkov +5 more
semanticscholar +1 more source
AvA: Accelerated Virtualization of Accelerators [PDF]
Applications are migrating en masse to the cloud, while accelerators such as GPUs, TPUs, and FPGAs proliferate in the wake of Moore's Law. These trends are in conflict: cloud applications run on virtual platforms, but existing virtualization techniques have not provided production-ready solutions for accelerators.
Hangchen Yu +3 more
openaire +1 more source
Score-based diffusion models for accelerated MRI [PDF]
Score-based diffusion models provide a powerful way to model images using the gradient of the data distribution. Leveraging the learned score function as a prior, here we introduce a way to sample data from a conditional distribution given the ...
Hyungjin Chung, Jong-Chul Ye
semanticscholar +1 more source
In this study, four different sites of ponds at different time period were analysed to show to the effect of Nanobubble ozonation (NBO). NBO is one of novel technologies which is environmentally friendly only using air, ozone, and requiring virtually no ...
Preeti Pal +2 more
doaj +1 more source
This work aims to investigate the effect of thermal stratification on fluid flow past an accelerated vertical plate in the presence of first order chemical reaction.
Nitul Kalita +2 more
doaj +1 more source
Low-frequency repetitive transcranial magnetic stimulation (rTMS) is capable of inducing changes in the functional organization of underlying brain regions, however, often at the cost of long stimulation protocols over several weeks.
Melina Engelhardt +8 more
doaj +1 more source
Adaptive Diffusion Priors for Accelerated MRI Reconstruction [PDF]
Deep MRI reconstruction is commonly performed with conditional models that de-alias undersampled acquisitions to recover images consistent with fully-sampled data. Since conditional models are trained with knowledge of the imaging operator, they can show
S. Dar +6 more
semanticscholar +1 more source
Background and objective: The accelerated protocol of Ponseti method was suggested to shorten the period of treatment of the conventional one for the cases of talipes equinovarus deformity.
Jagar Omar Doski +1 more
doaj +1 more source
Correlation between changes in corneal asphericity and progression of keratoconus in children
Clinical relevance Early detection of keratoconus (KC) progression and timing for retreatment. Background Q value (coefficient of corneal asphericity) reflects the shape of the cornea, its refractive power, and spherical aberration.
Ahmed A Tabl +2 more
doaj +1 more source
The Role of Cerebral Metabolism in Improving Time Pressured Decisions
Speed-accuracy tradeoff (SAT) theory dictates that decisions can be made more quickly by sacrificing accuracy. Here we investigate whether the human brain can operate in a brief metabolic overdrive to overcome SAT and successfully make decisions ...
An Thanh Vu +3 more
doaj +1 more source

