General Track Sessions
Papers may be submitted to one of the following General Tracks, or to an Invited Session. Only make one submission and select the track or session which best matches the topic of the paper.
The General Tracks are as follows:-
G1: Theoretical Foundations of Intelligent Systems: Theories, Algorithms and Methodologies
Automated Design and Configuration of Sensory Systems, Self-x principles in Intelligent Engineering Systems, Knowledge-Based Systems, Expert Systems, Cognitive Systems, Neural Networks, Artificial Immune Systems, Fuzzy Techniques and Systems, Genetic Algorithms and Evolutionary Computing, Hybrid Intelligent Systems, Multi-Agent Systems, Knowledge Discovery and Data Mining, Data Analysis and Pattern Recognition, Machine Learning, Bayesian Networks, Knowledge Representation and Management, Computational neuroscience, Planning, Spatial & Temporal Reasoning, Knowledge Acquisition, Semantic-Based Systems.
Prof. Cecila Zanni-Merk INSA Rouen Normandie / LITIS Laboratory, France
G2: Intelligent Applications
Multi-Sensor Information Systems, Dimensionality Reduction and Interactive Multivariate Data Visualization/Analysis,
Organisation Memories, Industrial Control, Monitoring and Planning, Intelligent Web-based Systems, Fault Diagnosis,
Robotics, Image Processing, Machine & Computer Vision, Medical & Diagnostic Systems, Financial & Stock Market Monitoring and
Prediction, Speech Processing and Synthesis, Natural Language Processing, Environmental Monitoring, Power Electronics &
Drives, High Voltage Systems, Engine Control and Vehicle Applications, Signal and Time Series Processing,
Dr Carlos Toro - ARTC (Advanced Remanufacturing and Technology Centre) - A*Star (Singapore)
G3: Emergent Intelligent Technologies
Pervasive Computing, Intelligent Web Personalization, Ubiquitous Computing, Context-aware and Affective (Emotional) Computing, Mobile Computing and Systems, Business Intelligence Systems, Human-centered Computing, Intelligent User Interfaces, Cognitive Networks, User profiling, Evolvable Hardware, DNA Computing, Immunocomputing, Artificial Life, Bioinformatics, Micro array Data Analysis, Intelligent Tutoring Systems, E-commerce/E-business and E-learning, Semantic Web, Intelligent Web Mining & Applications, Virtual Reality & Multi-Media Intelligent Information Systems, Blind Source Separation, Machine & Computer Visionm,Virtual Reality & Multi- Media Intelligent Information Systems, Image classifiers, Semantic Visualization, Semantic abstraction of the PLC/PLM, Machine learning, Image feature extraction, multimedia retrieval, multimedia annotation. Semantic annotation of images and videos, parallel computing and GPU, Semantic enhanced mockups and simulation models.
Prof Ron Hartung Franklyn University, United States
T1: Knowledge Technologies
Knowledge Based and Expert Systems; Knowledge Discovery and Data Mining; Knowledge Management
Prof Anne Hakansson Royal Institute of Technology, Sweden
** PLEASE NOTE:
- Do not submit the same paper to more than one General Track or Invited Session as they may be deleted from the conference.
- We may re-allocate papers to more appropriate tracks if we feel it necessary.