EANN 2011 - 12th Engineering Applications of Neural Networks

EANN Topics:
Authors are invited to submit electronically original, English-language research contributions or experience reports not concurrently submitted elsewhere. Papers should be no longer than 10 pages formatted according to the well known LNCS Springer style. The program committee may reject papers that exceed this length on the grounds of length alone. In the spirit of the previous EANN conferences, the paper should concentrate on the application rather than just the algorithm or the theory.

Submitted papers will be refereed by at least three reviewers for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the conference and included in the proceedings, which will be published by SPRINGER and they will be available on site. It is important though to follow the instructions in this page to ensure that your paper will be included in the proceedings.

Proposals for Workshops that examine emerging, innovative, or otherwise provocative issues within the conference area are encouraged as well. Workshop proposals should include a 1-2 page summary of the topic and the names and affiliations of 3-4 panelists who have made a commitment to participate. A mix of industry and academic panel members is recommended.

Proposals for 90-minute tutorials are also invited on topics within the conference area. Tutorial proposals must be at most 5 pages, they must identify the intended audience, and they must give enough material to provide a sense of what will be covered.

Topics
Topics include, but are not limited to, the following:

Neural networks techniques:

Research areas:

Engineering Applications:

Learning theory
Evolutionary architectures
Support vectors machines
Unsupervised Learning
Reinforcement Learning
Adaptive architecture
Fuzzy logic and systems
Hybrid system
Hardware development
Low cost architectures

Computer vision
Pattern Recognition
Colour, Motion analysis
Signal Processing
Fusion
Telecommunications
Robotics
Intelligent Transportation Systems
Financial Forecasting
Time Series Analysis
Data mining
Adaptive Control
Modelling and identification
Prediction
Process Monitoring and Diagnosis

Civil Engineering Applications
Fuzzy Systems
Biomedical Engineering Applications
Decision Making Applications
Manufacturing Engineering Applications
Computer science
Thermal Engineering
Financial Engineering
General Engineering Applications
Environmental Engineering
Risk Modeling

AIAI Topics
Topics
Suggested topics include, but are not limited to, the following:

Theoretical Advances:

Knowledge Engineering:

Trends in Computing:

Artificial Intelligence Applications:

Machine Learning
Adaptive Control
Data Fusion
Reasoning Methods
Knowledge Acquisition and Representation
Planning and Scheduling
Artificial Neural Networks
Expert Systems
Fuzzy Logic and Systems
Genetic Algorithms and Programming
Particle Swarm Optimisation
Bayesian Models

Data Mining and Information Retrieval
Decision Support Systems
Knowledge Management for e-Learning and Enterprise Portals
Intelligent Information Systems
Web- and Knowledge-Based Information Systems
Ontologies

Accessibility and Computers
Affective Computing
Agent and Multi-Agent Systems
Autonomous and Ubiquitous Computing
Distributed AI Systems and Architectures
Grid-Based Computing
Intelligent Profiling and Personalisation
Robotics and Virtual Reality

eBusiness, eCommerce, eHealth, eLearning
Engineering and Industry
Environmental Modelling
Finance
Telecommunications - Transportation
Crisis and Risk Management
Medical Informatics and Biomedical Engineering
Political Decision Making
Natural Language Processing
Planning and Resource Management
Project Management
Emerging Applications
Forensic Science

Multimedia, Graphics and Artificial Intelligence:

Signal Processing Techniques and Knowledge Extraction:

Other:

Multimedia Computing
Multimedia Ontologies
Smart Graphics
Colour/Image Analysis
Speech Synthesis

Computer Vision
Human-Machine Interaction / Presence
Learning and Adaptive Systems
Pattern Recognition
Signal and Image Processing
Speech and Natural Language Processing

AI and Ethical Issues
Evaluation of AI Systems
Social Impact of AI