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...

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Detalles Bibliográficos
Autores principales: Zang, Di, Ding, Yongjie, Qu, Xiaoke, Miao, Chenglin, Chen, Xihao, Zhang, Junqi, Tang, Keshuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002627/
https://www.ncbi.nlm.nih.gov/pubmed/35408361
http://dx.doi.org/10.3390/s22072744

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