Companion Mobility to Assist in Future Human Location Prediction-Reference-Cited by-同舟云学术

Companion Mobility to Assist in Future Human Location Prediction

Published:2022 Issue: Volume:10 Page:68111-68125
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ngo Quan T.¹^ORCID,Lan Doi Thi¹^ORCID,Yoon Seokhoon¹^ORCID,Jung Woo-Sung²^ORCID,Yoon Taehyun²^ORCID,Yoo Daeseung²^ORCID

Affiliation:

1. Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South Korea

2. Artificial Intelligence Research Laboratory, Intelligent Robotics Research Division, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea

Funder

Institute of Information and Communication Technology Planning and Evaluation

Korean Government through MSIT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09807278.pdf?arnumber=9807278

Reference46 articles.

1. Coupling human mobility and social ties

2. Inferring social ties from geographic coincidences

3. GMove

4. Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

5. Understanding individual human mobility patterns

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