Results 211 to 220 of about 95,544 (266)
A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis. [PDF]
PLoS OneHayat B +6 more
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Counting particles in cryo-electron microscopy may result in incorrect population estimates. [PDF]
Commun BiolEvans L +5 more
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An Integrated AIVIVE-PBPK-QIVIVE Framework with HTTK Validation for Probabilistic Risk Assessment of Neodymium Nitrate. [PDF]
Chem Res ToxicolWang N +9 more
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Material Variability and Quality Control Effects on Shear Resistance of RC Structures: A Reliability Sensitivity Study. [PDF]
Materials (Basel)Faghfouri S, Strauss A.
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AIP Conference Proceedings, 2007
Equilibrium properties of macroscopic systems are highly predictable as n, the number of particles approaches and exceeds Avogadro's number; theories of statistical physics depend on these results. Typical pedagogical devices used in statistical physics textbooks to introduce entropy (S) and multiplicity (ω) (where S = k ln(ω)) include flipping coins ...
Donald B. Mountcastle +5 more
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Equilibrium properties of macroscopic systems are highly predictable as n, the number of particles approaches and exceeds Avogadro's number; theories of statistical physics depend on these results. Typical pedagogical devices used in statistical physics textbooks to introduce entropy (S) and multiplicity (ω) (where S = k ln(ω)) include flipping coins ...
Donald B. Mountcastle +5 more
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Probability and Statistics: The Science of Uncertainty
The American Statistician, 2005(2005). Probability and Statistics: The Science of Uncertainty. The American Statistician: Vol. 59, No. 3, pp. 276-277.
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Basin-Scale Statistical Method for Probable Maximum Precipitation with Uncertainty Analysis
Journal of Hydrologic Engineering, 2019AbstractProbable maximum precipitation (PMP) is used for computing probable maximum flood (PMF), which is then used to design large hydraulic structures.
Yu Zhang, Vijay P. Singh, Aaron R. Byrd
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Physics in Medicine and Biology, 2007
In this paper we describe a technique that may be used to model the geometric uncertainties that accrue during the radiotherapy process. Using data from in-treatment cone beam CT scans, we simultaneously analyse non-uniform observer delineation variability and organ motion together with patient set-up errors via the creation of a point distribution ...
Price, G. J., Moore, C. J.
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In this paper we describe a technique that may be used to model the geometric uncertainties that accrue during the radiotherapy process. Using data from in-treatment cone beam CT scans, we simultaneously analyse non-uniform observer delineation variability and organ motion together with patient set-up errors via the creation of a point distribution ...
Price, G. J., Moore, C. J.
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The Accounting Review, 1970
Reviews the book "Management Decision Making Under Uncertainty: An Introduction to Probability and Statistical Decision," by T.R. Dyckman, S. Smidt and A.K. McAdams.
Robert R. Sterling, Ray Ball
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Reviews the book "Management Decision Making Under Uncertainty: An Introduction to Probability and Statistical Decision," by T.R. Dyckman, S. Smidt and A.K. McAdams.
Robert R. Sterling, Ray Ball
openaire +1 more source