Structural Sparse Tensor Robust PCA Method Based on Cross-Entropy for Vehicular Network Data Recovery-Reference-Cited by-同舟云学术

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Structural Sparse Tensor Robust PCA Method Based on Cross-Entropy for Vehicular Network Data Recovery

Published:2024-08 Issue:8 Volume:73 Page:12038-12051
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Liu Fulai¹^ORCID,Zhang Aiyi²^ORCID,Du Ruiyan¹^ORCID,Sun Guozhu³^ORCID

Affiliation:

1. Lab of Cognitive Radio and Big Spectrum Data Processing, Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China

2. School of Computer Science and Engineering, Northeastern University, Shenyang, China

3. Second Hospital of Hebei Medical University, Shijiazhuang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

S&T Program of Hebei

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10637911/10480632.pdf?arnumber=10480632

Reference34 articles.

1. Data-Driven Intelligent Transportation Systems: A Survey

2. Content-Aware Traffic Data Completion in ITS Based on Generative Adversarial Nets

3. A Low-Rank Tensor Model for Imputation of Missing Vehicular Traffic Volume

4. Noise-Tolerant Wireless Sensor Networks Localization via Multinorms Regularized Matrix Completion

5. A Multi-Attention Tensor Completion Network for Spatiotemporal Traffic Data Imputation

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