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AISB miscellaneous Bulletin Item

CF Chapter Proposals: Intelligent Systems for Machine Olfaction: Tools and Methodologies


Proposal Submission Deadline: April 17, 2009
Full Chapter Submission Deadline: June 25, 2009
Intelligent Systems for Machine Olfaction: Tools and Methodologies
A book edited by Manel Martnez-Ramn*, Evor Hines** and Mark Leeson**
*Universidad Carlos III de Madrid, Spain
**University of Warwick, UK
To be published by IGI Global: http://www.igi-global.com/requests/details.asp?ID=610
Intelligent systems are those that, given some data, are able to learn from that data. This ability makes it possible for complex systems to be modeled and/or for performance to be predicted. In turn it is possible to control their functionality through learning/training, without the need for a priori knowledge of the systems structure.
In the early years of research into intelligent systems, neural networks were very popular because they were the first such systems to be able to produce nonlinear behavior and adaptive characteristics through online training. Nevertheless, some of these early systems resulted in a high degree of complexity that could not be controlled, and a large number of free parameters need to be adjusted, resulting in overfitting and a high computational burden. Since then, a vast array of literature has been written on this and related areas, and a number of modern alternatives have been introduced that overcome almost all the drawbacks of the classical techniques. These alternatives include genetic and evolutionary algorithms, fuzzy algorithms, kernels or support vector machines; thus making it possible to use intelligent systems to solve a very wide range of practical applications.
Objective of the Book
This work will introduce new and state-of-the art applications of intelligent systems to researchers and developers in the area of machine olfaction who may benefit from the use of these intelligent systems techniques. The material will be presented in a series of chapters that support the reader via the introduction of theoretical material and application examples. The book will also reach potential readers in other research areas such as chemistry, biology, medicine and other related areas where intelligent systems have a great potential that has only barely been explored.
In addition this work will serve as a reference of the main theory, state of the art intelligent systems and possible technology trends in intelligent systems for machine olfaction. Also, the book will contain the key references that are needed for further reading. The book will be a source of application examples that can be readily implemented. Hence the publication will serve as a practical guide for the implementation of solutions in other scenarios.
Target Audience
This book will be an invaluable text for engineers and others who do not have a background in intelligent systems and are in need of an accessible starting point.
It will also be an attractive resource for educators who may find it suitable for final year undergraduates and graduates for their courses as a means of illustrating challenging aspects of real world intelligent systems applications.
Recommended topics include, but are not limited to, the following:
Intelligent Systems/Computational Intelligence/Soft Computing with Evolutionary Programming such as Genetic Algorithms, Genetic Programming
Intelligent Systems with Kernel Methods
Intelligent Systems/Computational Intelligence/Soft Computing with Novel neural networks, swarm intelligence approaches
Intelligent Systems/Computational Intelligence/Soft Computing with hybrid systems: such as neuro-fuzzy, evolutionary-fuzzy etc
Submission Procedure
Researchers and practitioners are invited to submit on or before April 17, 2009, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by April 24, 2009 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by June 25, 2009.  All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Additional information for this project can be found at: www.tsc.uc3m.es/~manel/ISMO
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the Information Science Reference (formerly Idea Group Reference), Medical Information Science Reference, and IGI Publishing imprints. For additional information regarding the publisher, please visit www.igi-global.com. It is anticipated that this publication will be released in the second half of 2010.
Important Dates:
April 17, 2009:            Proposal Submission Deadline
April 24, 2009:            Notification of Acceptance
June 25, 2009:  Full Chapter Submission
August 30, 2009:            Review Result Returned
October 30, 2009:  Final Chapter Submission
Inquiries and submissions can be forwarded electronically (Word document) or by mail to:
Manel Martnez-Ramn
Department of Signal Theory and Communications
Universidad Carlos III de Madrid
Tel: +34916248740   Fax: +34916248749  
E-mail: manel@tsc.uc3m.es
Evor Hines
School of Engineering
The University of Warwick
Tel: +024 7652 3246     Fax: +024 7641 8922
E-mail: E.L.Hines@warwick.ac.uk
Mark Leeson
School of Engineering
The University of Warwick
Tel:.  Fax:
E-mail: Mark-Leeson@warwick.ac.uk