چان ج کلاگیو

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چان ج کلاگیو
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تحصیلات دکترای تخصصی
وبسایت
پست الکترونیک
 عنوانمجله
1 Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches Natural Hazards
2 Rangeland species potential mapping using machine learning algorithms ECOLOGICAL ENGINEERING
3 Towards robust smart data-driven soil erodibility index prediction under different scenarios Geocarto International
4 Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling? JOURNAL OF HYDROLOGY
5 Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm Geoscience Frontiers
6 A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping Engineering Applications of Artificial Intelligence
7 New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed FORESTS
8 Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms International Journal of Environmental Research and Public Health
9 Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment International Journal of Environmental Research and Public Health
10 Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran FORESTS
11 GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models Applied Sciences-Basel
12 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
13 Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm Remote Sensing