A LSTM-based approach for modelling the movement uncertainty of indoor trajectories with mobile sensing data

Research output: Journal article publication › Journal article › Academic research › peer-review

Original language	English
Article number	102758
Number of pages	10
Journal	International Journal of Applied Earth Observation and Geoinformation
Volume	108
Issue number	2022
Publication status	Published - 29 Mar 2022

Cite this

@article{367bd4b9f68a420dafb0cf927f72d4b7,

title = "A LSTM-based approach for modelling the movement uncertainty of indoor trajectories with mobile sensing data",

author = "Zhewei Liu and Shi, \{Wen Zhong\} and Yue Yu and Pengfei Chen and \{Yu Chen\}, Bi",

year = "2022",

month = mar,

day = "29",

language = "English",

volume = "108",

journal = "International Journal of Applied Earth Observation and Geoinformation",

issn = "1569-8432",

publisher = "Elsevier BV",

number = "2022",

}

A LSTM-based approach for modelling the movement uncertainty of indoor trajectories with mobile sensing data. / Liu, Zhewei; Shi, Wen Zhong; Yu, Yue et al.
In: International Journal of Applied Earth Observation and Geoinformation, Vol. 108, No. 2022, 102758, 29.03.2022.

Research output: Journal article publication › Journal article › Academic research › peer-review

TY - JOUR

T1 - A LSTM-based approach for modelling the movement uncertainty of indoor trajectories with mobile sensing data

AU - Liu, Zhewei

AU - Shi, Wen Zhong

AU - Yu, Yue

AU - Chen, Pengfei

AU - Yu Chen, Bi

PY - 2022/3/29

Y1 - 2022/3/29

M3 - Journal article

SN - 1569-8432

VL - 108

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

IS - 2022

M1 - 102758

ER -