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cims 2012 - Special Sessions on Computational Intelligence in Communications and Networking

Date2012-06-10

Deadline2012-02-20

VenueBrisbane, Australia Australia

Keywords

Websitehttps://www.ieee-wcci2012.org

Topics/Call fo Papers

Measuring has gone from simple one variable measurement machines that produce data to integrated measurement systems that produce user oriented information. These systems acquire and intelligently process and integrate multiple data measurements from multiple sources and, taking into account and adapting to the context, produce usable information which, by intelligently communicating and interacting with other systems and repositories, seamlessly contribute to some user perceived functionality. Obviously, to achieve this end, Computational Intelligence based techniques and their application to measurement systems are a very important avenue of research. It is the objective of this session to address all aspects related to the theory and the development of new intelligent measurement techniques and, in particular, of novel developments and applications of computational intelligence based approaches to this field. The topics include but are not limited to: intelligent measurement systems; accuracy and precision of neural and fuzzy components; intelligent sensor fusion; intelligent monitoring and control systems; neural, evolutionary and fuzzy technologies for identification, prediction, and control of complex dynamic systems; evolutionary monitoring and control; uncertainty estimation in complex measuring systems; neural, evolutionary and fuzzy signal/image processing for industrial and environmental applications; hybrid systems; fuzzy evolutionary and neural components for embedded systems; hardware implementation of neural, evolutionary and fuzzy systems for measurements; neural, fuzzy and genetic/evolutionary algorithms for system optimization and calibration; neural and fuzzy diagnosis of components and systems; reliability, fault tolerance and testing of fuzzy and neural components; neural and fuzzy techniques for quality measurement.

Last modified: 2011-11-16 14:51:33