Detection of brain tissues using magnetic resonance imaging (MRI) is an active and challenging research area in computational neuroscience. Brain MRI artifacts lead to an uncertainty in pixel values. Therefore, brain MRI segmentation is a complicated concern which is tackled by a novel data fusion approach. The proposed algorithm has two main steps. In the first step the brain MRI is divided to...

Correctness verification of query results is a significant challenge in database outsourcing. Most of the proposed approaches impose high overhead, which makes them impractical in real scenarios. Probabilistic approaches are proposed in order to reduce the computation overhead pertaining to the verification process. In this paper, we use the notion of trust as the basis of our probabilistic app...

The database model presented in this paper is suitable for application in which queries may require non-crisp references to certain attributes. The data item (attribute) values may be crisp or fuzzy. For instance, such adjectives as 'high' or 'normal' may be attribute values for the attribute blood pressure. A disease or a condition can be described by a number of symptoms which may be crisp al...

the purpose of this study was to evaluate the web pages of islamic world science citation center (isc), the islamic countries sci using nielsen`s heuristic principles and was performed during september 2012. among nielsen`s 10 usability heuristic principles, five were covered. five professional evaluators were asked to evaluate the database using nielsen`s five criteria. the total average of se...

introduction: consumers have referred to the web to learn how they can improve their health, prevent disease and learn details about specific diseases. while efforts are being made to monitor information found on the web especially with the emergence of her: electronic health record in iran, they are not enough to cover every web site with health information. as a result, it was decided to eval...

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...