Landslide Susceptibility Mapping Using Logistic Regression Model Based On Information Value for the Region Along China-Thailand Railway from Saraburi To Sikhio, Thailand
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8891871/8897702/08900041.pdf?arnumber=8900041
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Enhanced Absence Sampling Technique for Data-Driven Landslide Susceptibility Mapping: A Case Study in Songyang County, China;Remote Sensing;2023-06-30
2. Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning;2023 31st Mediterranean Conference on Control and Automation (MED);2023-06-26
3. Study on Landslide Susceptibility Evaluation Based on Improved Multivariable Weighted Model: A Case Study of Lushan County, China;2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI);2023-06-16
4. Landslide susceptibility mapping of Kalimpong in Eastern Himalayan Region using a Rprop ANN approach;Journal of Earth System Science;2022-05-28
5. Recursive Feature Elimination for Machine Learning-based Landslide Prediction Models;2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2021-04-13
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