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The Great Lakes Computer Science Conference is held biannually in Kalamazoo, Michigan. It is a wide-focus conference concerning all areas of Computer Science. Typically, research in data structures, algorithms (both parallel and sequential), database and VLSI design. Artificial intelligence has received the most attention. The 1989 proceedings of the Great Lakes Computer Science Conference consists of 64 papers. Artificial Intelligence, with 11 papers, is the field which was widely attended.
The main objective of CSAIT 2013 is to provide a forum for researchers, educators, engineers and government officials involved in the general areas of Computational Sciences and Information Technology to disseminate their latest research results and exchange views on the future research directions of these fields. A medium like this provides an opportunity to the academicians and industrial professionals to exchange and integrate practice of computer science, application of the academic ideas, improve the academic depth. The in-depth discussions on the subject provide an international communication platform for educational technology and scientific research for the world's universities, engineering field experts, professionals and business executives.
"The Great Lakes Computer Science Conference is held biannually in Kalamazoo, Michigan. It is a wide-focus conference concerning all areas of Computer Science. Typically, research in data structures, algorithms (both parallel and sequential), database and VLSI design. Artificial intelligence has received the most attention. The 1989 proceedings of the Great Lakes Computer Science Conference consists of 64 papers. Artificial Intelligence, with 11 papers, is the field which was widely attended."--PUBLISHER'S WEBSITE.
The volume includes a set of selected papers extended and revised from the International Conference on Informatics, Cybernetics, and Computer Engineering. Intelligent control is a class of control techniques, that use various AI computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms. Intelligent control can be divided into the following major sub-domains: Neural network control Bayesian control Fuzzy (logic) control Neuro-fuzzy control Expert Systems Genetic control Intelligent agents (Cognitive/Conscious control) New control techniques are created continuously as new models of intelligent behavior are created and computational methods developed to support them. Networks may be classified according to a wide variety of characteristics such as medium used to transport the data, communications protocol used, scale, topology, organizational scope, etc. ICCE 2011 Volume 1 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of Intelligent Control and Network Communication to disseminate their latest research results and exchange views on the future research directions of these fields. 90 high-quality papers are included in the volume. Each paper has been peer-reviewed by at least 2 program committee members and selected by the volume editor Special thanks to editors, staff of association and every participants of the conference. It’s you make the conference a success. We look forward to meeting you next year.