Zobrazeno 1 - 10
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pro vyhledávání: '"Ries, Daniel"'
The 2022 National Defense Strategy of the United States listed climate change as a serious threat to national security. Climate intervention methods, such as stratospheric aerosol injection, have been proposed as mitigation strategies, but the downst
Externí odkaz:
http://arxiv.org/abs/2310.08495
Physical experiments in the national security domain are often expensive and time-consuming. Test engineers must certify the compatibility of aircraft and their weapon systems before they can be deployed in the field, but the testing required is time
Externí odkaz:
http://arxiv.org/abs/2309.17241
Neural networks (NN) have become almost ubiquitous with image classification, but in their standard form produce point estimates, with no measure of confidence. Bayesian neural networks (BNN) provide uncertainty quantification (UQ) for NN predictions
Externí odkaz:
http://arxiv.org/abs/2308.06293
Traditional deep learning (DL) models are powerful classifiers, but many approaches do not provide uncertainties for their estimates. Uncertainty quantification (UQ) methods for DL models have received increased attention in the literature due to the
Externí odkaz:
http://arxiv.org/abs/2308.05903
Autor:
Ries, Daniel, Carriquiry, Alicia
While there is wide agreement that physical activity is an important component of a healthy lifestyle, it is unclear how many people adhere to public health recommendations on physical activity. The Physical Activity Guidelines (PAG), published by th
Externí odkaz:
http://arxiv.org/abs/2308.05891
Autor:
Ries, Daniel, Carriquiry, Alicia
Metabolic Syndrome (MetS) is a serious condition that can be an early warning sign of heart disease and Type 2 diabetes. MetS is characterized by having elevated levels of blood pressure, cholesterol, waist circumference, and fasting glucose. There a
Externí odkaz:
http://arxiv.org/abs/2308.05888
Functional data are ubiquitous in scientific modeling. For instance, quantities of interest are modeled as functions of time, space, energy, density, etc. Uncertainty quantification methods for computer models with functional response have resulted i
Externí odkaz:
http://arxiv.org/abs/2305.08834
Publikováno v:
In Spatial Statistics March 2024 59
Optical spectral-temporal signatures extracted from videos of explosions provide information for identifying characteristics of the corresponding explosive devices. Currently, the identification is done using heuristic algorithms and direct subject m
Externí odkaz:
http://arxiv.org/abs/2010.12063