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CIVEMSA 2016 : 2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications | |||||||||||||||
Link: http://civemsa2016.ieee-ims.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Papers are solicited on all aspects of computational intelligence, human-computer interaction technologies, and virtual environments for measurement systems and the related applications, from the points of view of both theory and practice. Submissions will be through the CIVEMSA 2016 EDAS Portal, http://edas.info/N21511. This includes, but is not limited to, the following topics with specific emphasis on the computational intelligence and measurement aspects:
*Intelligent measurement systems *Human-computer interaction *Augmented and virtual reality *Accuracy and precision of neural/fuzzy components and virtual environments *Perception, neurodynamics, neurophysiology, psychophysics *Multimodal sensing *Multimodal (visual, haptic, audio, etc) virtual environments *Sensors and displays *Calibration *Multi-sensor data fusion and intelligent sensor fusion *Intelligent monitoring and control systems *Neural and fuzzy technologies for identification, prediction, and control of complex dynamic systems *Evolutionary monitoring and control *Evolutionary techniques for optimization and logistics *Neural and fuzzy signal/image processing for industrial, environmental and domotic applications *Neural and fuzzy signal/image processing for entertainment and educational applications *Image understanding and recognition *Object modeling *Object and system model validation *Virtual reality languages *Computational intelligence for robotics and vision *Computational intelligence for medical and bioengineering applications *Computational intelligence for entertainment and educational applications *Collaborative distributed virtual environments *Model-based telecommunications and telecontrol *Hybrid systems *Fuzzy and neural components for embedded systems *Hardware implementation of neural and fuzzy systems for measurements *Neural, fuzzy and genetic/evolutionary algorithms for system optimization and calibration *Neural and fuzzy techniques for system diagnosis *Reliability of fuzzy and neural components *Fault tolerance and testing in fuzzy and neural components *Neural and fuzzy techniques for quality measurement *Standards Important Dates: *Initial Full Paper Deadline: February 1, 2016 *Acceptance/Rejection Notification: March 15, 2016 *Final Manuscript Deadline: May 1, 2016 |
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