Educational portals, for distance learning courses, have a broader and more focused set of objectives and requirements that, typically, go well beyond the basic and commonly used portal definition as the gateway to the information, Web services and networks. As a matter of fact, portals, when adopted in distance learning strategies, are among the most important embedded design elements in cours...

In the theory of belief functions, distances between basic belief assignments are very important in many applications like clustering, conflict measuring, reliability estimation. In the discrete domain, many measures have been proposed, however, distance between continuous belief functions have been marginalized due to the nature of these functions. In this paper, we propose an adaptation inspi...

Wind erosion is considered as one of the main processes of land degradation in different parts of the world. Among the most effective ways to control wind erosion is to cover land surface with natural vegetation area. In this study, 3 replica soil samples were collected, at a depth of 0-3 cm, from various land uses in Dehloran, Ilam Province, Iran. Physical and chemical characteristics of soil ...

Introduction: Knowledge of the internal anatomy of the tooth, apical foramen (AF) and mental foramen (MF) is considered a basic prerequisite before root canal surgical and non-surgical treatments. The aim this study is evaluation the distance and situation of AF & MF to anatomic apex of mandibular  premolar. Materials & Methods: In this cross-sectional study, CBCT images of mandibular p...

List decoding of block codes is a decoding strategy which potentially allows better utilization of the error-correction capability of the code being decoded than traditional decoding up to half the minimum distance of the code. The basic idea dates back to 1957 but has fairly recently been the object of renewed interest from the research community, after the development of efficient algorithms ...

Abstract A new method for combining several initial estimators of the regression function is introduced. Instead of building a linear or convex optimized combination over a collection of basic estimators r1, . . . , rM , we use them as a collective indicator of the distance between the training data and a test observation. This local distance approach is model-free and extremely fast. Most impo...

So far, most of the evidential distance and similarity measures proposed in the DempsterShafer theory literature have been based on the basic belief assignment function, so as the belief and plausibility functions as two main results of the theory are not directly used in this regard. In this paper, a new evidential distance measure is proposed based on these functions according to nearest neig...