Sensor2Vec: an embedding learning for heterogeneous sensors for activity classification

Zhong, J. ORCID: 0000-0001-7642-2961 and Lotfi, A. ORCID: 0000-0002-5139-6565, 2020. Sensor2Vec: an embedding learning for heterogeneous sensors for activity classification. In: 2020 International Symposium on Community-centric Systems (CcS). Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781728187426

Full text not available from this repository.
Item Type: Chapter in book
Description: Paper presented at the 2020 International Symposium on Community-centric Systems (CcS), Hachioji, Tokyo, Japan, 23-26 September 2020.
Creators: Zhong, J. and Lotfi, A.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: Piscataway, NJ
Date: September 2020
ISBN: 9781728187426
Identifiers:
NumberType
10.1109/ccs49175.2020.9231478DOI
1380538Other
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 26 Oct 2020 12:46
Last Modified: 26 Oct 2020 12:46
URI: http://irep.ntu.ac.uk/id/eprint/41409

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