Clustering-based fuzzy finite state machine for human activity recognition

Mohmed, G., Lotfi, A. ORCID: 0000-0002-5139-6565, Langensiepen, C. ORCID: 0000-0002-0165-9048 and Pourabdollah, A. ORCID: 0000-0001-7737-1393, 2018. Clustering-based fuzzy finite state machine for human activity recognition. In: A. Lotfi ORCID: 0000-0002-5139-6565, H. Bouchachia, A. Gegov, C. Langensiepen ORCID: 0000-0002-0165-9048 and M. McGinnity ORCID: 0000-0002-9897-4748, eds., Advances in computational intelligence systems: contributions presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in intelligent systems and computing (AISC), 840 . Cham, Switzerland: Springer, pp. 264-275. ISBN 9783319979816 (Forthcoming)

Full text not available from this repository.
Item Type: Chapter in book
Creators: Mohmed, G., Lotfi, A., Langensiepen, C. and Pourabdollah, A.
Publisher: Springer
Place of Publication: Cham, Switzerland
Date: 2018
Volume: 840
ISSN: 2194-5357
Identifiers:
NumberType
10.1007/978-3-319-97982-3_22DOI
Divisions: Schools > School of Science and Technology
Depositing User: Jonathan Gallacher
Date Added: 20 Aug 2018 12:43
Last Modified: 20 Aug 2018 12:43
URI: http://irep.ntu.ac.uk/id/eprint/34361

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