Cite
Land subsidence prediction in Zhengzhou's main urban area using the GTWR and LSTM models combined with the Attention Mechanism.
MLA
Yuan, Yonghao, et al. “Land Subsidence Prediction in Zhengzhou’s Main Urban Area Using the GTWR and LSTM Models Combined with the Attention Mechanism.” Science of the Total Environment, vol. 907, Jan. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.scitotenv.2023.167482.
APA
Yuan, Y., Zhang, D., Cui, J., Zeng, T., Zhang, G., Zhou, W., Wang, J., Chen, F., Guo, J., Chen, Z., & Guo, H. (2024). Land subsidence prediction in Zhengzhou’s main urban area using the GTWR and LSTM models combined with the Attention Mechanism. Science of the Total Environment, 907, N.PAG. https://doi.org/10.1016/j.scitotenv.2023.167482
Chicago
Yuan, Yonghao, Dujuan Zhang, Jian Cui, Tao Zeng, Gubin Zhang, Wenge Zhou, Jinyang Wang, et al. 2024. “Land Subsidence Prediction in Zhengzhou’s Main Urban Area Using the GTWR and LSTM Models Combined with the Attention Mechanism.” Science of the Total Environment 907 (January): N.PAG. doi:10.1016/j.scitotenv.2023.167482.