University Of Transport Technology

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Geological Survey of India印度3
2. Hanoi University of Civil Engineering越南3
3. Institute of Geological Sciences越南3
4. Transylvania University of Brașov罗马尼亚3
5. Viện Khoa học Thủy lợi Việt Nam越南2
6. King Fahd University of Petroleum and Minerals沙特阿拉伯2
7. Luleå University of Technology瑞典1
8. Vietnam National University, Hanoi越南1

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逐年被引

最新文献

1. 1
   Topology-preserving environmental regimes integrated with machine learning and explainable AI for wildfire susceptibility assessmentReliability Engineering & System Safety20270
2. 2
   Predicting landslide and debris flow susceptibility using Logitboost alternating decision trees and ensemble techniquesNatural Hazards202413
3. 3
   Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areasStochastic Environmental Research and Risk Assessment202318
4. 4
   Flood hazard potential evaluation using decision tree state‐of‐the‐art modelsRisk Analysis202323
5. 5
   Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy processRisk Analysis202243
6. 6
   Flash flood susceptibility prediction mapping for a road network using hybrid machine learning modelsNatural Hazards202160
7. 7
   Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, VietnamNatural Hazards202140
8. 8
   Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basinGeomatics, Natural Hazards and Risk202120

高被引文献

1. 1
   Flash flood susceptibility prediction mapping for a road network using hybrid machine learning modelsNatural Hazards202160
2. 2
   Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy processRisk Analysis202243
3. 3
   Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, VietnamNatural Hazards202140
4. 4
   Flood hazard potential evaluation using decision tree state‐of‐the‐art modelsRisk Analysis202323
5. 5
   Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basinGeomatics, Natural Hazards and Risk202120
6. 6
   Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areasStochastic Environmental Research and Risk Assessment202318
7. 7
   Predicting landslide and debris flow susceptibility using Logitboost alternating decision trees and ensemble techniquesNatural Hazards202413

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