Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will ...

In this paper, we present technologies and techniques used in web-based intelligent educational systems (WBIESs). As WBIESs we consider either web-based intelligent tutoring systems (ITSs) or adaptive hypermedia education systems (AHESs) incorporating intelligent techniques. We present technologies and techniques for all the three basic components of a WBIES: the domain knowledge, the student m...

Rapid advancement of technology in artificial intelligence and computer science knowledge and then feel the need to search and secure automated systems are because of the appearance of intelligent systems based on image processing and spread this knowledge. One of these intelligent systems is license plate recognition (LPR) system. LPR plays an important role in intelligent transportation syste...

To provide guidance for adaptive learning systems designers, this paper reviews evolution of learning theories and their associated progress, which is eenabled by computers, artificial intelligence, and augmented cognition. A generic conceptual framework, of intelligent adaptive learning systems is discussed in detail for individualized learning. The utility of such design methodologies is illu...

Artificial intelligence is the branch of computer science concerned with making computers behave like humans, i.e., with automation of intelligent behavior. Artificial intelligence includes game playing, expert systems, natural language, and robotics. The area may be subdivided into two main branches. The first branch, cognitive science, has a strong affiliation with psychology. The goal is her...

A major characteristic of developments in the broad field of Artificial Intelligence (AI) during the 1990s has been an increasing integration of AI with other disciplines. A number of other computer science fields and technologies have been used in developing intelligent systems, starting from traditional information systems and databases, to modern distributed systems and the Internet. This pa...

Imprecise-information processing is an important component of artificial intelligence (including computational intelligence). With the development of information and intelligence sciences and technologies as well as the rise in social requirements, imprecise-information processing is becoming more and more important and urgent, and it will play an indispensable role in intelligent systems, espe...

image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

Machine learning is the subfield of AI concerned with intelligent systems that learn. To understand machine learning, it is helpful to have a clear notion of intelligent systems. This chapter adopts a view of intelligent systems as agents — systems that perceive and act in an environment; an agent is intelligent to the degree that its actions are successful. Intelligent agents can be natural or...