Since involvement of computers in educational, academic and business communities has increased, e-learning systems present involvement of information and communication technology as constituent part of education that supports a teacher in traditional learning and teaching process. In this paper, our focus is placed on learning materials in e-learning systems, how they are selected, sequenced an...

(1) Background: the present study continues previous research on new marking techniques by using intelligent materials, NFC-tags (Near Field Communication tags) and Aerogel. They prevent loss of information over time for cadavers unknown identities in various stages destruction or living victims, as well missing persons who have lost are concealing their identity. (2) Methods: this consisted a ...

In this paper, a Highly Efficient e-Learning System based on Knowledge Management and Intelligent Agents, KMIA-HELS, is proposed. The design concept is to use knowledge management and intelligent agent community to help the learners finding out the adapting courses and learning path. The system analyzes the causes of ineffective learning by portfolio and test-portfolio, and then provides person...

Students are characterized by different learning styles, focusing on different types of information and processing this information in different ways. One of the goals of a Web-based education system is that all the students can learn despite their different learning styles. To achieve this goal we have to detect how students learn. We propose the use of Bayesian Networks to detect the learning...

The intelligence of E-learning system has become one of regarded topic to public. Using adoptive E-learning system to supplement or replace the classroom is becoming more common in education. To develop an automated knowledge Acquisition intelligent tutoring system is the aim of this paper. Moreover the knowledge Acquisition system (KAS) can improves the education efficiency highly since this s...

In this article, we present new method of hybrid intelligent systems. Intelligent systems are very useful for prediction in any situation and are a new wave of embedded and real-time systems that are highly connected, with massive processing power and performing complex process. Here, we present a method of hybrid systems for prediction of the roughness of robot laser hardened specimens, if we ...