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Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network
Traffic-data recovery plays an important role in traffic prediction, congestion judgment, road network planning and other fields. Complete and accurate traffic data help to find the laws contained in the data more efficiently and effectively. However, existing methods still have problems to cope wit...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002627/ https://www.ncbi.nlm.nih.gov/pubmed/35408361 http://dx.doi.org/10.3390/s22072744 |