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| Investigating the application of artificial intelligence for earthquake prediction in Terengganu 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 1
作者: Marhain S.; Ahmed A.N.; Murti M.A.; Kumar P.; El-Shafie A.
  收藏 | 浏览/下载：55/0 | 提交时间：2021/09/01
Artificial intelligence Boosted decision tree regression Earthquake prediction Machine learning algorithm Multivariate adaptive regression spline Pearson correlation coefficient Random forest Support vector machine Uncertainty analysis |
| Chemical weathering and gully erosion causing land degradation in a complex river basin of Eastern India: an integrated field, analytical and artificial intelligence approach 期刊论文
Natural Hazards, 2021
作者: Pal S.C.; Chakrabortty R.; Arabameri A.; Santosh M.; Saha A.; Chowdhuri I.; Roy P.; Shit M.
收藏 | 浏览/下载：36/0 | 提交时间：2021/09/01
Cohesiveness Gully erosion Land degradation Spectroscopic analysis Weathering |
| Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 2
作者: Akinci H.; Zeybek M.
收藏 | 浏览/下载：12/0 | 提交时间：2021/09/01
GIS Landslide susceptibility assessment Logistic regression Random forest Support vector machine |
| Remote sensing GIS-based landslide susceptibility & risk modeling in Darjeeling–Sikkim Himalaya together with FEM-based slope stability analysis of the terrain 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 3
作者: Nath S.K.; Sengupta A.; Srivastava A.
收藏 | 浏览/下载：22/0 | 提交时间：2021/09/01
Darjeeling–Sikkim Himalaya Landslide susceptibility zones Static dynamic slope stability Vulnerability risk |
| Landslide zonation and assessment of Farizi watershed in northeastern Iran using data mining techniques 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 3
作者: Naemitabar M.; Zanganeh Asadi M.
收藏 | 浏览/下载：5/0 | 提交时间：2021/09/01
Farizi watershed Landslide Logistic model tree (LMT) Support vector machine (SVM) The boosted regression trees (BRT) model The random forest (RF) algorithm |
| Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 1
作者: Chowdhuri I.; Pal S.C.; Chakrabortty R.; Malik S.; Das B.; Roy P.
收藏 | 浏览/下载：34/0 | 提交时间：2021/09/01
Boosted regression tree Ensemble methods Landslide susceptibility Logistic regression Random forest |
| Prediction model based on the Laplacian eigenmap method combined with a random forest algorithm for rainstorm satellite images during the first annual rainy season in South China 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 1
作者: Huang X.-Y.; He L.; Zhao H.-S.; Huang Y.; Wu Y.-S.
收藏 | 浏览/下载：11/0 | 提交时间：2021/09/01
Heavy rainfall Laplacian eigenmaps Multiple linear regression Random forest algorithm Satellite cloud images |
| Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran 期刊论文
Natural Hazards, 2020, 卷号: 104, 期号: 1
作者: Eskandari S.; Amiri M.; Sãdhasivam N.; Pourghasemi H.R.
收藏 | 浏览/下载：23/0 | 提交时间：2021/09/01
Distance to urban areas (DTU) Effective factors Fire hazard mapping Individual and hybrid modeling Machine learning XGBoost |
| Detecting hydrological droughts in ungauged areas from remotely sensed hydro-meteorological variables using rule-based models 期刊论文
Natural Hazards, 2020, 卷号: 103, 期号: 3
作者: Rhee J.; Park K.; Lee S.; Jang S.; Yoon S.
收藏 | 浏览/下载：24/0 | 提交时间：2021/09/01
Hydrological droughts Remote sensing Rule-based models Ungauged areas |
| What matters the most? Understanding individual tornado preparedness using machine learning 期刊论文
Natural Hazards, 2020, 卷号: 103, 期号: 1
作者: Choi J.; Robinson S.; Maulik R.; Wehde W.
收藏 | 浏览/下载：24/0 | 提交时间：2021/09/01
Disaster management Emergency preparedness Machine learning Random forest regression Tornado preparedness |
