Call for Papers

Intelligent Systems Design and Applications (ISDA'03) is the third International conference that brings together international soft computing / computational intelligence/ artificial intelligence researchers, developers, practitioners, and users. The aim of ISDA 2003 is to serve as a forum to present current and future work as well as to exchange research ideas in this field. ISDA 2003 invites authors to submit their original and unpublished work that demonstrate current research in all areas of soft computing and computational intelligence including design of artificial neural networks, fuzzy systems, evolutionary algorithms, hybrid systems, agents, and their applications in science, technology, business and commercial. 

ISDA'03 will focus on the following themes:

• Architectures of  intelligent systems

• Image, Speech and signal processing

• Internet modeling

• Data mining

• Business and management applications

• Control and Automation

• Software agents

• Knowledge management

• Special topics

We invite you to submit a:

-         full paper of 8 to 10 pages (Letter or A4 paper) for oral presentation

-         proposal to organize a technical session and/or workshop (see the Call for Events Proposals for more information).

Submitted papers have to be original, containing new and original results. The proceedings of the Conference will be published by Springer Verlag, Germany. The papers are to be formatted according to the author's instructions found at the following link: http://www.springer.de/author/crau-engl-instruct.pdf . 

• Word template:  http://www.springer.de/author/sv-crproc-e.zip

• LaTeX template: ftp://ftp.springer.de/pub/tex/latex/engigl/mult.zip

The Springer LaTeX macros use standard LaTeX packages - if you do not have these packages please refer to www.dante.de/cgi-bin/ctan-index

Submission implies the willingness of at least one of the authors to register and present the paper. All full papers are to be submitted in PDF electronically via the web site. Hard copies should be sent only if electronic submission is not possible. All papers will be peer reviewed by at least two independent referees of the international program committee of ISDA'03.

Topics of interest include but not limited to:

Intelligent Systems Architectures and Applications

• 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 Image and Signal Processing

• Design and implementation of intelligent signal processing systems

• Image, vedio 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         

Intelligent Internet Modeling

• 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  

Intelligent Data mining

• 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

Intelligent Business Systems

• 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

Intelligent Control and Automation

• 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

Intelligent Agents

• 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

Intelligent Knowledge Management

• Application of knowledge representation techniques to semantic modeling
• Development and management of heterogeneous knowledge bases
• Automatic acquisition of data and knowledge bases (especially raw text)
• Performance evaluation
• Parallel database systems
• Data and knowledge sharing
• Cooperation in heterogeneous systems
• Domain modeling and ontology-building
• Concurrent engineering and computer integrated manufacturing
• Digital Libraries
• Multimedia Databases.

Important Dates