Autonomous Learning Systems: From Data Streams to Knowledge in Real-time

Author:   Plamen Angelov (Department of Communication Systems, Lancaster University)
Publisher:   John Wiley & Sons Inc
ISBN:  

9781119951520


Pages:   298
Publication Date:   07 December 2012
Format:   Hardback
Availability:   Out of stock   Availability explained
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Autonomous Learning Systems: From Data Streams to Knowledge in Real-time


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Full Product Details

Author:   Plamen Angelov (Department of Communication Systems, Lancaster University)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 17.40cm , Height: 1.90cm , Length: 25.00cm
Weight:   0.608kg
ISBN:  

9781119951520


ISBN 10:   1119951526
Pages:   298
Publication Date:   07 December 2012
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Reviews

Overall, this book presents a valuable framework for further investigation and development for researchers and software developers. Summing Up: Recommended. Graduate students and above. ( Choice , 1 October 2013)


Author Information

Plamen Parvanov Angelov, Lancaster University, UK Plamen Parvanov is a senior lecturer in the School of Computing and Communications at Lancaster University. He is an Associate Editor of three international journals and the founding co-Editor-in-Chief of the Springer journal Evolving Systems. He is also the Vice Chair of the Technical Committee on Standards, Computational Intelligence Society, IEEE and co-Chair of several IEEE conferences. His research in UAV/UAS is often publicised in external publications, e.g. the prestigious Computational Intelligence Magazine; Aviation Week, Flight Global, Airframer, Flight International, etc. His research focuses on computational intelligence and evolving systems, and his research in to autonomous systems has received worldwide recognition. As the Principle Investigator at Lancaster University for a team working on UAV Sense and Avoid fortwo projects of ASTRAEA his work was recognised by 'The Engineer Innovation and Technology 2008 Award in two categories: i) Aerospace and Defence and ii) The Special Award which is an outstanding achievement.

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