Ying, X.; Ni, S.; Wu, J.; Zhao, Y.; Liu, H.; Qiu, R.; Li, T.; Bei, J.; Zhao, H.
Generative Regeneration of Historic Urban Fabric: A Framework Based on Deep Learning and Multi-Objective Optimization. Land 2026, 15, 976.
https://doi.org/10.3390/land15060976
AMA Style
Ying X, Ni S, Wu J, Zhao Y, Liu H, Qiu R, Li T, Bei J, Zhao H.
Generative Regeneration of Historic Urban Fabric: A Framework Based on Deep Learning and Multi-Objective Optimization. Land. 2026; 15(6):976.
https://doi.org/10.3390/land15060976
Chicago/Turabian Style
Ying, Xiaoyu, Shenbo Ni, Jiajing Wu, Yujie Zhao, Haiqiang Liu, Rongxin Qiu, Te Li, Jiamei Bei, and Hui Zhao.
2026. "Generative Regeneration of Historic Urban Fabric: A Framework Based on Deep Learning and Multi-Objective Optimization" Land 15, no. 6: 976.
https://doi.org/10.3390/land15060976
APA Style
Ying, X., Ni, S., Wu, J., Zhao, Y., Liu, H., Qiu, R., Li, T., Bei, J., & Zhao, H.
(2026). Generative Regeneration of Historic Urban Fabric: A Framework Based on Deep Learning and Multi-Objective Optimization. Land, 15(6), 976.
https://doi.org/10.3390/land15060976