Shirou Tan
Biographic Data
| ID | 9967985 |
|---|---|
| NAME | Shirou Tan |
| GIVEN NAMES | Shirou |
| FAMILY NAME | Tan |
| SIGNATURE | TAN S |
| AFFILIATIONS | Hunan University of Science and Technology |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Developing a Hybrid Model to Enhance the Robustness of Interpretability for Landslide Susceptibility Assessment
Landslide is one of the most damaging natural hazards, causing extensive damage to the infrastructure and threatening human life. Although advances have been made in landslide susceptibility assessment by objective explainable machine learning, the interpretability robustness of traditional single landslide susceptibility model is still low. The proposed interpretable hybrid model in this study overcomes these challenges and aims to enhance the s…
No prominent works on this page.
Developing a Hybrid Model to Enhance the Robustness of Interpretability for Landslide Susceptibility Assessment
Landslide is one of the most damaging natural hazards, causing extensive damage to the infrastructure and threatening human life. Although advances have been made in landslide susceptibility assessment by objective explainable machine learning, the interpretability robustness of traditional single landslide susceptibility model is still low. The proposed interpretable hybrid model in this study overcomes these challenges and aims to enhance the s…
Artificial Intelligence (1 works) · Chemistry (1 works) · Computer Science (1 works) · Flood Risk Assessment and Management (1 works) · Geology (1 works) · Geomorphology (1 works) · Geotechnical Engineering and Analysis (1 works) · Interpretability (1 works) · Landslide (1 works) · Landslides and related hazards (1 works)