Service ranking has been long-acknowledged to play a fundamental role in helping users to select the best offerings among services retrieved from a search request. There exist many ranking mechanisms, each one providing ad hoc preference models that offer different levels of expressiveness. Consequently, applying a single mechanism to a particular scenario constrains the user to define preferen...

This paper presents an approach for optimizing both recognition and processing performance of a biometric system in identification mode. Multibiometric techniques facilitate bridging the gap between desired performance and current unimodal recognition rates. However, traditional parallel classifier combination techniques, such as Score sum, Borda count and Highest rank, cause further processing...

The previous work has justified the assumption that document ranking can be improved by further considering the coarse-grained relations in various linguistic levels (e.g., lexical, syntactical and semantic). To the best of our knowledge, little work is reported to incorporate the fine-grained ontological relations (e.g., ) in document ranking. Two contributions are wo...

Data retrieval finding relevant data from large databases — has become a serious problem as myriad databases have been brought online in the Web. For instance, querying the for-sale houses in Chicago from realtor.com returns thousands of matching houses. Similarly, querying ‘‘digital camera’’ in froogle.com returns hundreds of thousand of results. This data retrieval is essentially an online ra...

super eciency data envelopment analysis(dea) model can be used in ranking the performanceof ecient decision making units(dmus). in dea, non-extreme ecient unitshave a super eciency score one and the existing super eciency dea models do notprovide a complete ranking about these units. in this paper, we will propose a methodfor ranking the performance of the extreme and non-extreme ecient u...

In this paper we present a system which uses ontological resources and a gene name variation generation tool to expand concepts in the original query. The novelty of our approach lies in our concept-based normalization ranking model. For the 2007 Genomic task, we also modified this system architecture with an additional dynamic form of query expansion called entity-based relevance feedback. Thi...

By the development and advancement of blockchain technique, Internet Things (IoT) proliferation driven devices application blockchain-enabled IoT alter view operating infrastructure smart networks. The is responsible for supporting decentralized systems offers secured means authentication, management, access to system thereby deploying contracts offered by Ethereum. increasing demand expansion ...

sociology of medical education is an area of sociology that could well link the two fields of medical sciences and social sciences together. sociologists believe that the scope of medical science deals with problems and realities much graeter than medical techniques and practices, of which sociology of medical education, described as one of the effective institutions of society as well as medic...

This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making          (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP)          and the technique for order preference by similarity to an ideal solution (TOPSIS).          Since the efficiency score of unity is assigned to ...