The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2024) is dedicated to all aspects of computational intelligence, virtual environments and human-computer interaction technologies for measurement systems and related applications.
The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2024) covers topics such as:
- Intelligent measurement in Internet-of-Things and Cyber-Physical Systems
- Intelligent measurement systems
- Augmented and virtual reality
- Human-computer interaction
- Accuracy and precision of virtual environments
- Accuracy and precision of neural and fuzzy components
- Multimodal sensing
- Perception, neurodynamics, neurophysiology, psychophysics
- Sensors and displays
- Multimodal (visual, haptic, audio, etc) virtual environments
- Multi-sensor data fusion and intelligent sensor fusion
- Calibration
- Neural and fuzzy technologies for identification, prediction, and control of complex dynamic systems
- Intelligent monitoring and control systems
- Evolutionary techniques for optimization and logistics
- Evolutionary monitoring and control
- Neural and fuzzy signal/image processing for entertainment and educational applications
- Neural and fuzzy signal/image processing for industrial, environmental and domotic applications
- Object modeling
- Image understanding and recognition
- Virtual reality languages
- Object and system model validation
- Computational intelligence technologies for medical and bioengineering applications
- Computational intelligence technologies for robotics and vision
- Machine learning for sensing systems and virtual reality
- Computational intelligence for entertainment and educational applications
- Model-based telecommunications and telecontrol
- Collaborative distributed virtual environments
- Fuzzy and neural components for embedded systems
- Hybrid systems
- Neural, fuzzy and genetic/evolutionary algorithms for system optimization and calibration
- Hardware implementation of neural and fuzzy systems for measurements
- Reliability of fuzzy and neural components
- Neural and fuzzy techniques for system diagnosis
- Neural and fuzzy techniques for quality measurement
- Fault tolerance and testing in fuzzy and neural components
- Standards