Internet traffic data recovery via a low-rank spatio-temporal regularized optimization approach without d-th order T-SVD
Accurate recovery of Internet traffic data can mitigate the adverse impact of incomplete data on network task processes. In this study, we propose a low-rank recovery model for incomplete Internet traffic data with a fourth-order tensor structure, incorporating spatio-temporal regularization while a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Applied Mathematics and Statistics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fams.2025.1587681/full |
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