The IEEE
International Conference on Computational Intelligence and Virtual Environments
for Measurement Systems and Applications (CIVEMSA 2018) is dedicated to all
aspects of computational intelligence, virtual environments and human-computer
interaction technologies for measurement systems and related applications.
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:
- 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 monitoring & control
- 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 Telecommunications & 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
ORGANIZERS
HONORARY
CO-CHAIRS
Rafik Goubran - Carleton
University, Canada
GENERAL CO-CHAIRS
Ana-Maria Cretu - Carleton University, Canada
Dalila Megherbi -
University of Massachusetts Lowell, USA
PROGRAM CO-CHAIRS
Pierre Payeur -University
of Ottawa, Canada
Sebastian Zug - Otto
von Guericke University, Germany
Angelo Genovese - Università degli Studi di Milano, Italy
TUTORIALS &
SPECIAL SESSION CHAIRS
Gabriel Wainer - Carleton
University, Canada
LOCAL ARRANGEMENT
CHAIR
Thiago Eustaquio Alves de Oliveira - University of Ottawa, Canada
Ghazal Rouhafzay -
Carleton University, Canada
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