近日，我院强跃教授团队在学术期刊《重庆交通大学学报（自然科学版）》、《Plos one》、《Earth Science Informatics》、《Heliyon》等发表四篇论文，这些论文主要聚焦西南山区地质灾害防治，在物理模型或者试验基础上应用机器学习或者智能计算模型进行灾害预测，为地灾的防治提供一种新方法。

论文信息和超链接：

[1]李莉*，倪波，强跃，等．基于改进云模型和线性规划优化算法的山区泥石流危险性评价[J]．重庆交通大学学报（自然科学），2024，43（7）: 34-43.

[2]Lin H, Qiang Y*, Li L, Li H, Liang S (2024)Investigating the closure stress and crack initiation stress in fractured rocks using the student t-distribution and Monte Carlo simulation method.PLoS ONE 19(8): e0307804. https://doi.org/10.1371/journal.pone.0307804.

[3]Hanjie Lin , Li Li *, Yue Qiang , Yi Zhang , Siyu Liang , Xinlong Xu , Hongjian Li , Shengchao Hu.Sensitivity analysis of slope stability based on extreme gradient boosting and Shapley Additive explanations: An exploratory study[J].Heliyon 10 (2024) e35871,. https://doi.org/ 10.1371/journal.pone.0307804.

[4]Hanjie Lin, Li Li, Yue Qiang,Xinlong,Xu Siyu Liang,Tao Chen, Wenjun Yang. Yi Zhang.A method for landslide identifcation and detection in high-precision aerial imagery: progressive CBAM-U-net model[J].Earth Science Informatics, https://doi.org/10.1007/s12145-024-01465-6.