dataset · ScienceDB · 2026
Machine Learning Code for Assessing Flood Susceptibility
Yang Yinan, Yujing Xie, Jun Ma, Yixuan Yang, Tao Liu, Wendy Y. Chen, Xiangrong Wang, Lei Fang, Raymond Yu Wang, Yutao Wang
Cited by 0Open access
Abstract
The code for assessing flood susceptibility using four machine learning algorithms (RF, XGBoost, CNN, LSTM).
Cite this paper
Yinan, Y., Xie, Y., Ma, J., Yang, Y., Liu, T., Chen, W. Y., Wang, X., Fang, L., Wang, R. Y., & Wang, Y. (2026). Machine Learning Code for Assessing Flood Susceptibility. ScienceDB. https://doi.org/10.57760/sciencedb.35291
Yinan, Yang, et al. “Machine Learning Code for Assessing Flood Susceptibility.” ScienceDB, 2026, https://doi.org/10.57760/sciencedb.35291.
Yinan, Yang, Yujing Xie, Jun Ma, Yixuan Yang, Tao Liu, Wendy Y. Chen, Xiangrong Wang, Lei Fang, Raymond Yu Wang, and Yutao Wang. 2026. “Machine Learning Code for Assessing Flood Susceptibility.” ScienceDB. https://doi.org/10.57760/sciencedb.35291.
Yinan, Y. et al. (2026) ‘Machine Learning Code for Assessing Flood Susceptibility’, ScienceDB. Available at: https://doi.org/10.57760/sciencedb.35291.
@misc{yinan2026machine,
title = {{Machine Learning Code for Assessing Flood Susceptibility}},
author = {Yinan, Yang and Xie, Yujing and Ma, Jun and Yang, Yixuan and Liu, Tao and Chen, Wendy Y. and Wang, Xiangrong and Fang, Lei and Wang, Raymond Yu and Wang, Yutao},
journal = {ScienceDB},
year = {2026},
doi = {10.57760/sciencedb.35291}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.