EANN 2011 - 12th Engineering Applications of Neural Networks

Website delab.csd.auth.gr/eann2011 | Edit Freely

Category Artificial Intelligence Applications Innovations;Artificial Neural Networks

Deadline: April 30, 2011 | Date: September 15, 2011-September 18, 2011

Venue/Country: Corfu, Greece

Updated: 2011-04-11 10:28:56 (GMT+9)

Call For Papers - CFP

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