Sensor2Vec: an embedding learning for heterogeneous sensors for activity classification

Zhong, J ORCID: https://orcid.org/0000-0001-7642-2961 and Lotfi, A ORCID: https://orcid.org/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

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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:	Number Type 10.1109/ccs49175.2020.9231478 DOI 1380538 Other
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:	https://irep.ntu.ac.uk/id/eprint/41409

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