Reactor Physics Monitoring of a Source-Driven Subcritical System in Stationary State by Deterministic and Probabilistic Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2024 at "Nuclear Science and Engineering"
DOI: 10.1080/00295639.2024.2328957
Abstract: Abstract Reactivity measurement methods, like the Amplified Source Method (ASM), link observable quantities to integral physics parameters characterizing subcritical assemblies (SCAs). These methods were mostly derived from point reactor kinetics, which assumes fundamental mode distribution.… read more here.
Keywords: reactor physics; source; probabilistic deep; deterministic probabilistic ... See more keywords
Detecting glaucoma from multi-modal data using probabilistic deep learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.923096
Abstract: Objective To assess the accuracy of probabilistic deep learning models to discriminate normal eyes and eyes with glaucoma from fundus photographs and visual fields. Design Algorithm development for discriminating normal and glaucoma eyes using data… read more here.
Keywords: fundus photographs; glaucoma; probabilistic deep; learning ... See more keywords