Call for Papers

A. Intelligent Systems Architectures and Applications (but not limited to):

• Artificial Neural Networks
• Mathematical foundations of neural networks
• Architectures and algorithms
• Learning theory (supervised/ unsupervised/ reinforcement learning)
• Knowledge based networks
• Implementation issues of neural networks
• Support Vector Machines
• Neural network applications
• Fuzzy Systems, fuzzy logic and possibility theory
• Fuzzy expert systems
• Fuzzy system design using evolutionary algorithms
• Fuzzy system modeling and simulation
• Fuzzy systems and applications
• Evolutionary Algorithms
• Genetic algorithms, evolution strategies, genetic programming and evolutionary programming
• Learning Classifiers
• Hybrid evolutionary algorithms
• Evolutionary algorithms and applications
• Fusion of neural network- fuzzy systems
• Fusion of fuzzy systems- evolutionary algorithms
• Fusion of neural network – evolutionary algorithms
• Fusion of neural network- fuzzy systems- evolutionary algorithms
• Intelligent agents (architectures, environments, adaptation/ learning and knowledge management)
• Bayesian networks and probabilistic reasoning
• Rough sets
• Statistical learning techniques
• Fusion of statistical methods and soft computing techniques
• CAD systems
• Intelligent optimization techniques
• Intelligent techniques in Bioinformatics

B. Intelligent Image and Signal Processing (but not limited to):

• Design and implementation of intelligent signal processing systems
• Image, video and multidimensional signal processing
• Multimedia signal processing
• Speech processing
• Features and classification
• Texture analysis
• Document analysis
• Stereoscopic vision
• Shape processing
• Object recognition
• Image and video retrieval
• Image and video compression

C. Intelligent Internet Modeling (but not limited to):

• Web intelligence
• Search engines
• Information retrieval (web mining)
• Database querying
• Ontology
• XML mining
• Intelligent networking between Web Sites
• Network security, intrusion detection
• Information aggregation and fusion
• Interaction with intelligent agents
• Intelligent agents and interfaces for personalization and adaptivity
• Intelligent tutoring systems on the WWW
• Adaptive hypermedia systems
• Agents for digital cities, virtual communities and agent societies

D. Intelligent Data mining (but not limited to):

• Discovering patterns in continuous data
• Uncertainty management for data mining
• Clustering algorithms and applications
• Classification trees
• Mining time series
• Mining in a Mobile Environment
• Statistical Considerations in Learning
• XML Mining
• Text Mining
• Distributed Data Mining

E. Intelligent Business Systems (but not limited to):

• e-learning, e-commerce, e-business, e-finance
• Risk management
• Derivatives pricing
• Portfolio management and asset allocation
• Stock market, forex market analysis, dynamics; simulation
• Hedging, trading & arbitrage strategies
• Financial modeling
• Computational economics
• Intelligent management
• Multicriteria decision making

F. Intelligent Control and Automation (but not limited to):

• Mathematical modeling and analysis of complex systems
• Soft computing/computational intelligence in control systems
• Knowledge based control systems
• Adaptive control systems
• Control applications in robotics, manufacturing, process control, industrial systems, automotive, vehicular systems, spacecraft and so on

G. Intelligent Agents (but not limited to):

• Adaptation and learning
• Agent architectures and communication languages
• Communication, collaboration, and interaction of humans and agents
• Conversational agents
• Coordinating multiple agents
• Designing agent systems – methodologies & software engineering
• Evolution of agents
• Knowledge acquisition and management
• models of emotion, motivation, or personality
• multi-agent communication, coordination, and collaboration