A survey of deep learning approaches for WiFi-based indoor positioning

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	163-216
Number of pages	54
Journal	Journal of Information and Telecommunication
Volume	6
Issue number	2
Early online date	20 Sept 2021
DOIs	https://doi.org/10.1080/24751839.2021.1975425
Publication status	E-pub ahead of print - 20 Sept 2021

Access to Document

@article{4a0ff6a714e44b9b98cfcc7bec654e62,

title = "A survey of deep learning approaches for WiFi-based indoor positioning",

author = "Xu Feng and Nguyen, {Khuong An} and Zhiyuan Luo",

year = "2021",

month = sep,

day = "20",

doi = "10.1080/24751839.2021.1975425",

language = "English",

volume = "6",

pages = "163--216",

journal = "Journal of Information and Telecommunication",

issn = "2475-1839",

publisher = "Taylor and Francis Ltd.",

number = "2",

}

TY - JOUR

T1 - A survey of deep learning approaches for WiFi-based indoor positioning

AU - Feng, Xu

AU - Nguyen, Khuong An

AU - Luo, Zhiyuan

PY - 2021/9/20

Y1 - 2021/9/20

U2 - 10.1080/24751839.2021.1975425

DO - 10.1080/24751839.2021.1975425

M3 - Article

SN - 2475-1839

VL - 6

SP - 163

EP - 216

JO - Journal of Information and Telecommunication

JF - Journal of Information and Telecommunication

IS - 2

ER -