Dedicated to all aspects of computational intelligence, virtual environments and human-computer interaction technologies for measurement systems and related applications.
June 12, 2023
Virtual Conference
About IEEE CIVEMSA 2023
The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2023) is dedicated to all aspects of computational intelligence, virtual environments and human-computer interaction technologies for measurement systems and related applications.
Mark Your Calendars
Key Dates
- 2023-01-03Full Paper Submission
- 2023-15-03Acceptance/Rejection Notification
- 2023-15-04Final Manuscript Submission
Call for Papers
The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2023) is dedicated to all aspects of computational intelligence, virtual environments and human-computer interaction technologies for measurement systems and related applications.
Interest Areas
Topics of Interest
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. This includes, but is not limited to, the following topics with specific emphasis on the measurement aspects:
Please note that an Author of an accepted paper must register and pay the registration fee (only IEEE member and non-member fees are allowed for this purpose) for inclusion in the proceedings.
At least one Author must present the paper at the conference to allow for inclusion in IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements.
- intelligent measurement systems
- human-computer interaction
- accuracy and precision of neural and fuzzy components
- perception, neurodynamics, neurophysiology, psychophysics
- multimodal (visual, haptic, audio, etc) virtual environments
- calibration
- intelligent monitoring and control systems
- evolutionary monitoring and control
- neural and fuzzy signal/image processing for industrial, environmental and domotic applications
- image understanding and recognition
- object and system model validation
- computational intelligence technologies for robotics and vision
- computational intelligence for entertainment and educational applications
- collaborative distributed virtual environments
- hybrid systems
- hardware implementation of neural and fuzzy systems for measurements
- neural and fuzzy techniques for system diagnosis
- fault tolerance and testing in fuzzy and neural components
- standards
- intelligent measurement in Internet-of-Things and Cyber-Physical Systems
- augmented and virtual reality
- accuracy and precision of virtual environments
- multimodal sensing
- sensors and displays
- multi-sensor data fusion and intelligent sensor fusion
- neural and fuzzy technologies for identification, prediction, and control of complex dynamic systems
- evolutionary techniques for optimization and logistics
- neural and fuzzy signal/image processing for entertainment and educational applications
- object modeling
- virtual reality languages
- computational intelligence technologies for medical and bioengineering applications
- machine learning for sensing systems and virtual reality
- model-based telecommunications and telecontrol
- fuzzy and neural components for embedded systems
- neural, fuzzy and genetic/evolutionary algorithms for system optimization and calibration
- reliability of fuzzy and neural components
- neural and fuzzy techniques for quality measurement
Special Thanks
