For difficult cases clinicians usually use their experience and also the information found in textbooks to determine a diagnosis. Computer tools can help them supply the relevant information now that much medical knowledge is available in digital form. A biomedical search system such as developed in the Khresmoi project (that this chapter partially reuses) has the goal to fulfil information nee...

We show how a series of satellite images used in conjunction with data derived from a digital terrain model can be used to monitor salinity in farmland. Using these data, a conditional probability network (CPN) is constructed to produce salinity maps. The maps are the result of combining uncertain information in images with uncertain knowledge or rules, where the rules are of a temporal and spa...

introduction: long term complications of hepatitis c virus (hcv) infection include fibrosis, cirrhosis, and hepatocellular carcinoma and although the disease is treatable with the newly introduced direct acting antivirals, but factors such as drug resistance, viral genotype and adverse effects can limit the effectiveness of therapy. therefore, development of effective, safe and affordable proph...

For solving the uncertain problem in the process of WEB page classification, a general fusion classification model and algorithm are proposed, which based on model theory of information fusion. In the model, the hidden classification information is extracted from the WEB page, pre-processed firstly, then the processed data are input into the fusion mode, which deals with the different data with...

This paper proposes a method which describes the information precision with a soft fusion model, instead of the traditional rigid fusion method. The method is divided into two steps, the pretreatment model and fusion center model. Each forms a relative independent model, and the two models have a progressive relationship. The former is used for consistency evaluation, data cleaning and invalid ...

This paper describes a principled approach to the fusion of image sequences from diierent sensors for generating a single enhanced display. We propose a statistical model for the sensors and a technique to adaptively estimate the relationship between the sensors. The combination rule is derived under the assumption of an aane transformation of the intensities. The resulting algorithm uses a mul...

Abstract— In this paper, we present feedback retina model combined with IHS model for fusion of multispectral (SPOT) and panchromatic (IKONOS) images. Multispectral images are limited by low spatial resolution. So, combining of lowresolution multi-spectral and high-resolution panchromatic images is a way for improving the spatial quality of multispectral images. An ideal fusion process preserve...

This paper explores the possibility of applying multi-sensor information fusion technology to the development of smart aircraft. This technology integrates information from multiple sensors and extracts tactical information to detect, track and identify time critical targets at any time, in any place and under all weather conditions. Such target information will help the war fighter avoid fratr...

service availability is important for any organization. this has become more important with the increase of dos attacks. it is therefore essential to assess the threat on service availability. we have proposed a new model for threat assessment on service availability with a data fusion approach. we have selected three more important criteria for evaluating the threat on service availability and...

For the act of membrane fusion, there are two competing, mutually exclusive molecular models that differ in the structure of the initial pore, the pathway for ionic continuity between formerly separated volumes. Because biological "fusion pores" can be as small as ionic channels or gap junctions, one model posits a proteinaceous initial fusion pore. Because biological fusion pore conductance va...