Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Aykroyd, Robert G."'
Autor:
Aykroyd, Robert G., Olobatuyi, Kehinde
Reconstructing images from downsampled and noisy measurements, such as MRI and low dose Computed Tomography (CT), is a mathematically ill-posed inverse problem. We propose an easy-to-use reconstruction method based on Expectation Propagation (EP) tec
Externí odkaz:
http://arxiv.org/abs/2208.12340
A framework is presented for fitting inverse problem models via variational Bayes approximations. This methodology guarantees flexibility to statistical model specification for a broad range of applications, good accuracy and reduced model fitting ti
Externí odkaz:
http://arxiv.org/abs/2103.05909
Publikováno v:
In Computational Statistics and Data Analysis February 2025 202
The use of high-power industrial equipment, such as large-scale mixing equipment or a hydrocyclone for separation of particles in liquid suspension, demands careful monitoring to ensure correct operation. The fundamental task of state-estimation for
Externí odkaz:
http://arxiv.org/abs/1707.06107
Publikováno v:
Frontiers in Nuclear Medicine; 2024, p1-15, 15p
Autor:
Akerele, Mercy I., Karakatsanis, Nicolas A., Forsythe, Rachael O., Dweck, Marc R., Syed, Maaz, Aykroyd, Robert G., Sourbron, Steven, Newby, David E., Tsoumpas, Charalampos *
Publikováno v:
In Journal of Nuclear Cardiology October 2021 28(5):1875-1886
Publikováno v:
Brazilian Journal of Probability and Statistics, 2019 Jan 01. 33(3), 498-519.
Externí odkaz:
https://www.jstor.org/stable/26784395
Publikováno v:
In Technological Forecasting & Social Change July 2019 144:221-232
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 15 June 2018 177:114-128
Autor:
Aykroyd, Robert G., Allum, Gayle T.
Publikováno v:
Journal of the American Statistical Association, 2001 Mar 01. 96(453), 64-76.
Externí odkaz:
https://www.jstor.org/stable/2670341