The knowledge imperfections should be considered when modeling complex problems. A solution is to develop a model that reduces the complexity and another option is to represent the imperfections: uncertainty, vagueness and incompleteness in the knowledge base. This paper proposes…

This article reviews the most significant milestones
in CAD methodologies for intelligent EM-based modeling and
design optimization using artificial neural networks and space
mapping. We consider knowledge-based and automatic neural
network model generation based on advanced data sampling
algorithms. Computationally…

Objective - The aim of the trial was to establish whether there is a significant difference in terms of knowledge and skills, between self-directed learning using a web-based resource, compared with a classroom based interactive workshop, for teaching health professionals…

This is an electronic version of an article published in Mental Health and Substance Use, 1(2), pp.104-117. Mental Health and Substance Use is available online at: http://www.informaworld.com/smpp/title~db=all~content=t777186830., Background: Mutuality is a feature of many ‘self-help groups’ for people with mental…

Our research project intends to build knowledge about HPC problems to be able to help local researchers. In order to advise users in choosing parallel machines to run their applications, we want to establish a general methodology, requiring as shallow…

Currently, mathematics instruction in U.S. classrooms is far from achieving equity for African American students. This qualitative study reports the results of eight successful elementary mathematics teachers’ knowledge of equity pedagogy, specifically their knowledge of culturally relevant pedagogy, cultural competence,…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

Objective - The objective of this review was to assess which library instruction methods are most effective for improving the information skills of students at an introductory, undergraduate level, using cognitive outcomes (measuring changes in knowledge). The study sought to…

This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky’s previous and more recent work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical…

Artificial neural networks (ANN) are very efficient in solving various kinds of problems But Lack of explanation capability (Black box nature of Neural Networks) is one of the most important reasons why artificial neural networks do not get necessary interest…