ICCLA 2011 - International Conference on Computational Learning for Aerospace 2011

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ICCLA 2011 - International Conference on Computational Learning for Aerospace 2011

Website mcsociety.org/iccla/2011 | Edit Freely

Category ICCLA 2011

Deadline: August 23, 2010 | Date: January 10, 2011-January 13, 2011

Venue/Country: Singapore, Singapore

Updated: 2010-08-15 13:36:33 (GMT+9)

Call For Papers - CFP

ICCLA 2011 is to be held at the ultra modern city of Singapore on Jan 10-13, 2011. Best known for its peace and order, besides being the host of many iconic tourism attractions, Singapore has been a favorite venue for holding international conferences and seminars. The conference will address development of novel computational learning techniques for the analysis/application in aerospace and related industries. The goal is to identify prominent areas within the domain of aerospace where developments in computational learning can improve on current techniques and/or answer new interesting questions. The conference will bring together researchers from machine learning, data mining, optimization, and other computational learning topics, as well as researchers and engineers from industry to discuss problems in aerospace. The objective of this conference is three-fold:

To hold tutorials for the benefit of researchers/practitioners from Industry and various disciplines.

To create interdisciplinary discussion and provide feedback on potential solutions.

To stimulate researchers to apply their computational methodologies to the presented problems and to encourage continuous research into similar problems from the field.

Important Dates:

Paper Submission: Aug 1, 2010 Aug 23, 2010

Decision Notification: Sept 1, 2010 Sep 23, 2010

Camera-ready Submission/ Registration: Sept 15, 2010 Oct 07, 2010

Tutorial Proposal: Sep 1, 2010

Prospective authors are cordially invited to submit high-quality papers to ICCLA 2011. The con- ference topics include, but not limited to:

Methodologies:

Intelligent Agents

Bayesian and Generative Modeling

Reinforcement Learning

Kernel Methods

Support Vector Machines

Evolutionary Computing

Memetic Computing

Swarm Intelligent

Neural Networks

Boosting

Multi-view/Multi-task Learning

Probabilistic Methods

Numerical Optimization Methods

Diagnostic and FaultIsolation

Decision-making Under Uncertainty

Validation, Verification, and Metrics

Supervised and Unsupervised Learning

Real-time Machine Learning

Response Surface Modeling

Applications:

Diagnostics and Prognostics of Aircraft Systems

Surface Reconstruction

Anomaly Detection from Aerospace Vehicle Data

Physics-of-failure Modeling

Classification in Large Sky Surveys

Text Mining in Aerospace Information Systems

Privacy and Security Issues in Aerospace Data

Robotic Telescopes

Supervised and Unsupervised Learning in Astro- physics

Predictive Maintenance

Aircraft Safety

Adaptive Robotic Finishing

Combustion Instability

Radar

Sensor Network

Adaptive Monitoring of Aerospace Systems

Prognostic Health Management

Risk Management in Space Missions

MRO Logistics, Strategy, and Regulatory

Paper Submission: Manuscripts should be prepared according to the Springer format and be restricted to a maximum of 12 pages for full paper or 6 pages for poster. Please submit through https://cmt.research.microsoft.com/ICCLA2011.

Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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