| 1 |
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
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Applied Sciences-Basel
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| 2 |
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 3 |
Flood susceptibility assessment in Hengfeng area coupling adaptiveneuro-fuzzy inference system with genetic algorithm and differential evolution
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 4 |
Modeling flood susceptibility using data-driven approaches of naive Bayes tree, alternating decision tree, and random forest methods
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 5 |
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
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Bulletin of Engineering Geology and the Environment
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| 6 |
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
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JOURNAL OF ENVIRONMENTAL MANAGEMENT
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| 7 |
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
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JOURNAL OF HYDROLOGY
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| 8 |
A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
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Geocarto International
|
| 9 |
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
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JOURNAL OF HYDROLOGY
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| 10 |
Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods
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Natural Hazards
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| 11 |
Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
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Remote Sensing
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| 12 |
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
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CATENA
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| 13 |
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and na€ ıve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
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Geomatics, Natural Hazards and Risk
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| 14 |
A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
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Environmental Earth Sciences
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| 15 |
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
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SCIENCE OF THE TOTAL ENVIRONMENT
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