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An effective approach to predicting plant species in an ecological environment

Wang, Lizhen, Lu, Joan and Yip, Yau Jim (2007) An effective approach to predicting plant species in an ecological environment. In: Proceedings of the 2007 International Conference on Information & Knowledge Engineering, IKE 2007. CSREA Press, USA, pp. 245-250. ISBN 1-60132-050-7
Information
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
URI:
https://eprints.hud.ac.uk/id/eprint/3071
Title:
An effective approach to predicting plant species in an ecological environment
Creators:
Wang, Lizhen, Lu, Joan and Yip, Yau Jim
Editors:
Arabnia, Hamid R. and Hashemi, Ray R.
Date:
2007
Subjects:
T Technology > T Technology (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools:
School of Computing and Engineering
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
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School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Additional Information:
Proceedings of the 2007 International Conference on Information & Knowledge Engineering, IKE 2007, June 25-28, 2007, Las Vegas Nevada, USA
Library
Item Type:
Book Chapter
Depositing User:
Briony Heyhoe
Date Deposited:
09 Jan 2009 16:24
Revision:
12
Last Modified:
28 Aug 2021 10:44
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