A unified deep learning framework integrating OpenStreetMap for multi-domain urban planning tasks
- DOI
- 10.1038/s41598-026-45927-x
- Published
- 2026-03-27
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-45927-x,
title = {A unified deep learning framework integrating OpenStreetMap for multi-domain urban planning tasks},
author = {YanHua Chen and Waleed Saeed Afandi and Dmitry Gura and Yury Kosenok},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-45927-x},
url = {https://doi.org/10.1038/s41598-026-45927-x}
}RIS
TY - JOUR TI - A unified deep learning framework integrating OpenStreetMap for multi-domain urban planning tasks AU - YanHua Chen AU - Waleed Saeed Afandi AU - Dmitry Gura AU - Yury Kosenok PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-45927-x UR - https://doi.org/10.1038/s41598-026-45927-x ER -
APA
Chen, Y., Afandi, W. S., Gura, D., & Kosenok, Y. (2026). A unified deep learning framework integrating OpenStreetMap for multi-domain urban planning tasks. Scientific Reports. https://doi.org/10.1038/s41598-026-45927-x
Source records
- crossref · retrieved 2026-09-26T07:41:34.392Z