User Community Identification Through Fine-Grained Mobility Records for Smart City Applications-Reference-Cited by-同舟云学术

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User Community Identification Through Fine-Grained Mobility Records for Smart City Applications

Published:2021 Issue: Volume: Page:1-15
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ferreira Danielle L.^ORCID,Nunes Bruno Astuto A.,Campos Carlos Alberto Vieira,Obraczka Katia

Funder

National Science Foundation

Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior-Brasil CAPES

USF National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09310709.pdf?arnumber=9310709

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Federated Learning assisted framework to periodically identify user communities in urban space;Ad Hoc Networks;2024-10

2. Information-enhanced deep graph clustering network;Neurocomputing;2024-09

3. Towards Smarter Positioning through Analyzing Raw GNSS and Multi-Sensor Data from Android Devices: A Dataset and an Open-Source Application;Electronics;2023-11-25

4. Communication Strategy of New Media Art to City Image under Smart City Information Technology;Mathematical Problems in Engineering;2022-05-18

5. Optimising UWB based Location Tracking in Smartphones through the Support of 5G;2022 IEEE International Conference on Consumer Electronics (ICCE);2022-01-07

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