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A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting

Crossref DOI link: https://doi.org/10.1186/s41044-018-0031-2

Published Online: 2018-04-19

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kim, Kyeong Soo http://orcid.org/0000-0002-4123-2647
Lee, Sanghyuk

Huang, Kaizhu
Funding

Funding for this research was provided by:

Xi’an Jiaotong-Liverpool University (RDF-14-01-25)

Xi’an Jiaotong-Liverpool University (SURF-201739)

Xi’an Jiaotong-Liverpool University (RISGC-2017-4)

National Natural Science Foundation of China (61473236)

Natural science fund for colleges and universities in Jiangsu Province (17KJD520010)

Suzhou Science and Technology Program (Suzhou Science and Technology Program)
License Information

Text and Data Mining valid from 2018-04-19
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Article History

Received: 2 January 2018

Accepted: 3 April 2018

First Online: 19 April 2018

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: The authors declare that they have no competing interests.

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