APA (7th ed.) Citation

Zeng, F., Wu, R., Ma, Y., Zhang, Y., Ping, W., Yang, S., & Gao, Q. (2026). A Lightweight Parallel Attention U-Net for Surface Defect Segmentation of Wind Turbine Towers in Visible-Light Images. Buildings (2075-5309), 16(14), 2837. https://doi.org/10.3390/buildings16142837

Chicago Style (17th ed.) Citation

Zeng, Fanqiang, Renchaogetu Wu, Yinan Ma, Yu Zhang, Wanpeng Ping, Songbin Yang, and Qingfei Gao. "A Lightweight Parallel Attention U-Net for Surface Defect Segmentation of Wind Turbine Towers in Visible-Light Images." Buildings (2075-5309) 16, no. 14 (2026): 2837. https://doi.org/10.3390/buildings16142837.

MLA (9th ed.) Citation

Zeng, Fanqiang, et al. "A Lightweight Parallel Attention U-Net for Surface Defect Segmentation of Wind Turbine Towers in Visible-Light Images." Buildings (2075-5309), vol. 16, no. 14, 2026, p. 2837, https://doi.org/10.3390/buildings16142837.