NT-DPTC: A non-negative temporal dimension preserved tensor completion model for missing traffic data imputation-Reference-Cited by-同舟云学术

NT-DPTC: A non-negative temporal dimension preserved tensor completion model for missing traffic data imputation

Published:2024-01 Issue: Volume:653 Page:119797
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Chen Hong^ORCID,Lin Mingwei^ORCID,Liu Jiaqi^ORCID,Yang Hengshuo,Zhang Chao^ORCID,Xu Zeshui^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Repair method of traffic flow malfunction data based on temporal-spatial model;Lu;J. Traffic Transp. Eng.,2015

2. Consistency- and dependence-guided knowledge distillation for object detection in remote sensing images;Chen;Expert Syst. Appl.,2023

3. Crftl: cache reallocation-based page-level flash translation layer for smartphones;Zhang;IEEE Trans. Consum. Electron.,2023

4. Scalable low-rank tensor learning for spatiotemporal traffic data imputation;Chen;Transp. Res., Part C, Emerg. Technol.,2021

5. Forecast of rainfall distribution based on fixed sliding window long short-term memory;Chen;Eng. Appl. Comput. Fluid,2022

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