Similarity based city data transfer framework in urban digitization
Abstract Cross-city transfer learning aims to apply the knowledge and model from data-rich cities to data-poor cities to solve the cold start problem. Existing methods directly transfer the model constructed from developed cities to underdeveloped cities without considering the similarity between th...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-03-01
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| Colecção: | Scientific Reports |
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| Acesso em linha: | https://doi.org/10.1038/s41598-025-94987-y |
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