Although BNs have been used successfully for many medical diagnosis problems, there have been few applications to epidemiological data where data mining methods play a significant role. In this paper, we look at the application of BNs to epidemiological data,…

Data mining researchers have long been concerned with the application of tools to facilitate and improve data analysis on large, complex data sets. The current challenge is to make data mining and knowledge discovery systems applicable to a wider range…

Problem-based learning (PBL) is the use of a “real world” problem or situation as a context for learning. The present study explores the use of PBL in an online biotechnology course. In the PBL unit, student groups dealt with the…

The rapid growth of online learning has led to the development of faculty inservice evaluation models that are geared towards the demands of quality improvement of degree programs. Based on the best practices of student online assessment, the Online Faculty…

Academic engineering graphics curricula are facing a rapidly changing knowledge base and current teaching and assessment methods are struggling to keep pace.  This paper is the second in a two-part series which examines practicing engineering graphics professionals to discover their…

According to Heritage Watch, a collaborative NGO based
in Cambodia which is active in archaeological salvage
work, village outreach and education, the looting of
archaeological sites in Cambodia has now reached “epic
proportions.” Although increased security and tourism
provide protection…

Aspects of physico-chemical factors and zooplankton of Nguru Lake were studied for a period of twenty four months between May 2006 and April 2008.With the aim of acquiring the necessary knowledge for management of lakes in semi arid areas of…

There are only a few records for the jaguar (Panthera onca) in Oaxaca, hence it is considered to be a state with scarce knowledge on the species. This study presents an update regarding the geographic distribution of the species and…

 In this paper, a new method based on adaptive neuro-fuzzy inference system (ANFIS) to estimate the phase inductance of linear switched reluctance motors (LSRMs) is presented. The ANFIS has the advantages of expert knowledge of fuzzy inference system and learning…

In systems where agents are required to interact with a partially known and dynamic world, sensors can be used to obtain further knowledge about the environment. However, sensors may be unreliable, that is, they may deliver wrong information (due, e.g.,…