Radiation Source Mapping with Bayesian Inverse Methods

AN INVERSE PROBLEM WITH UNKNOWN RADIATION TERM

In this paper, we consider an inverse problem of linear heat equation with nonlinear boundary condition. We identify the temperature and the unknown radiation tern from an overspecified condition on the boundary

Inverse Methods for Planning Radiation Therapy

A new era in cancer radiation therapy has been gradually emerging during the last decade with the rapid development of many new and powerful methods for plan­ ning treatment and for optimizing the delivery of radiation doses. This process parallels in many respects the rapid devel­ opment in medical imaging technology that took place during the last 20 years, where computed tomography (CT), mag...

Application of Bayesian inference methods to inverse modeling for contaminant source identification at Gloucester Landfill, Canada

Bayesian Methods of Astronomical Source Extraction

We present two new source extraction methods, based on Bayesian model selection and using the Bayesian information criterion. The first is a source detection filter, which is able to simultaneously detect point sources and estimate the image background. The second is an advanced photometry technique that measures the flux, position (to subpixel accuracy), local background, and point-spread func...

Combining Ontology Mapping Methods Using Bayesian Networks

Bayesian networks (BNs) can capture interdependencies among ontology mapping methods and thus possibly improve the way they are combined. Experiments on ontologies from the OAEI collection are shown, and the possibility of modelling explicit mapping patterns in combination with methods is discussed.