The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2021) is dedicated to all aspects of computational intelligence, virtual environments and human-computer interaction technologies for measurement systems and related applications.
HONORARY CO-CHAIRS
Emil M. Petriu
University of Ottawa, Canada
Vincenzo Piuri
Uiversità degli Studi di Milano, Italy
GENERAL CO-CHAIRS
Yong Hu
The University of Hong Kong, Hong Kong SAR
Guanglin Li
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
PROGRAM CO-CHAIRS
Yuexian Zou
Peking University Shenzhen Graduate School, China
Gilles Mauris
University Savoie Mont Blanc, France
Abdulmotaleb El Saddik
University of Ottawa, Canada
Radu-Emil Precup
Politehnica University of Timisoara, Romania
LOCAL ARRANGEMENT CHAIRS
Feng Wan
University of Macau, Macao SAR
Naifu Jiang
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2021) is dedicated to all aspects of computational intelligence, virtual environments and human-computer interaction technologies for measurement systems and related applications.
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:
Intelligent Measurement Systems
Human-computer Interaction
Augmented & Virtual Reality
Accuracy & Precision of Neural & Fuzzy Components
Accuracy & Precision of Virtual Environments
Perception, Neurodynamics, Neurophysiology, Psychophysics
Multimodal Sensing
Multimodal (Visual, Haptic, Audio, etc.) Virtual Environments
Sensors & Displays
Calibration and System Calibration
Multi-Sensor Data Fusion & Intelligent Sensor Fusion
Intelligent Monitoring & Control Systems
Neural & Fuzzy Technologies For Identification, Prediction, & Control of Complex Dynamic Systems
Evolutionary Techniques For Optimization & Logistics
Neural & Fuzzy Signal/Image Processing For Industrial, Environmental & Domotic Applications
Neural & Fuzzy Signal/Image Processing For Entertainment & Educational Applications
Image Understanding & Recognition
Machine & Deep Learning for Intelligent Systems
Object Modeling
Object & System Model Validation
Virtual Reality languages
Computational Intelligence Technologies For Robotics & Vision
Computational Intelligence Technologies For Medical & Bioengineering Applications
Computational Intelligence For Entertainment & Educational Applications
Distributed Collaborative Virtual Environments
Model-Based Tele-communications & Telecontrol
Hybrid Systems
Fuzzy & Neural Components For Embedded Systems
Hardware Implementation of Neural & Fuzzy Systems For Measurements
Neural, Fuzzy & Genetic/Evolutionary Algorithms For System Optimization & Calibration
Neural & Fuzzy Techniques For System Diagnosis
Reliability of Fuzzy & Neural Components
Fault Tolerance & Testing In Fuzzy & Neural Components
Neural & Fuzzy Techniques For Quality Measurement
Standards
Human Machine Interaction
Evolutionary monitoring & control
06月18日
2021
06月20日
2021
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