1 |
Deep learning neural networks for spatially explicit prediction of flash flood probability
|
Geoscience Frontiers
|
2 |
New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
|
FORESTS
|
3 |
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
|
Applied Sciences-Basel
|
4 |
پیش بینی مکانی زمین لغزش های سطحی با استفاده از مدل های آماری و یادگیری ماشین (مطالعۀ موردی: حوضه سرخون)
|
مرتع و آبخيزداري (منابع طبيعي ايران)-دانشگاه تهران
|
5 |
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
|
6 |
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
|
SENSORS
|
7 |
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
|
Sustainability
|
8 |
Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
|
Applied Sciences-Basel
|
9 |
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
|
Remote Sensing
|