Indoor WLAN Personnel Intrusion Detection Using Transfer Learning-Aided Generative Adversarial Network with Light-Loaded Database
Crossref DOI link: https://doi.org/10.1007/s11036-020-01663-8
Published Online: 2020-11-11
Published Print: 2021-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhou, Mu
Li, Yaoping
Yuan, Hui
Wang, Jiacheng
Pu, Qiaolin
Text and Data Mining valid from 2020-11-11
Version of Record valid from 2020-11-11
Article History
Accepted: 23 September 2020
First Online: 11 November 2020
Compliance with ethical standards
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: Authors declare that they have no conflict of interests.