| 1 |
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
|
SCIENCE OF THE TOTAL ENVIRONMENT
|
| 2 |
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
|
Applied Sciences-Basel
|
| 3 |
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
|
ISPRS International Journal of Geo-Information
|
| 4 |
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
|
FORESTS
|
| 5 |
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
|
International Journal of Environmental Research and Public Health
|
| 6 |
Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
|
Water
|
| 7 |
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images
|
International Journal of Environmental Research and Public Health
|
| 8 |
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
|
Remote Sensing
|