| 1 |
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping
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Engineering Applications of Artificial Intelligence
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| 2 |
New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
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FORESTS
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| 3 |
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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| 4 |
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
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International Journal of Environmental Research and Public Health
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| 5 |
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
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FORESTS
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| 6 |
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
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International Journal of Environmental Research and Public Health
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| 7 |
Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
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Water
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| 8 |
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
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FORESTS
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| 9 |
Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
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JOURNAL OF HYDROLOGY
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| 10 |
A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
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Sustainability
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| 11 |
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
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Applied Sciences-Basel
|
| 12 |
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images
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International Journal of Environmental Research and Public Health
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| 13 |
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
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Geocarto International
|
| 14 |
A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
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Water
|
| 15 |
SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment
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SENSORS
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| 16 |
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
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Remote Sensing
|
| 17 |
A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment
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Geocarto International
|
| 18 |
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
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SENSORS
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| 19 |
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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| 20 |
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
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Sustainability
|
| 21 |
Land-Cover Change Detection in a Part of Cameron Highlands, Malaysia Using ETM+ Satellite Imagery and Support Vector Machine (SVM) Algorithm
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EnvironmentAsia
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| 22 |
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 23 |
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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| 24 |
A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
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Geocarto International
|
| 25 |
Land cover change mapping using a combination of Sentinel-1 data and multispectral satellite imagery: A case study of Sanandaj County, Kurdistan, Iran
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Applied Ecology and Environmental Research
|
| 26 |
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
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Applied Sciences-Basel
|
| 27 |
Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution
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CATENA
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| 28 |
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
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Remote Sensing
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| 29 |
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 30 |
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 31 |
Land cover mapping using a novel combination model of satellite imageries: Case study of a part of the cameron highlands, Pahang, Malaysia
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Applied Ecology and Environmental Research
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| 32 |
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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| 33 |
INTEGRATION OF INSAR TECHNIQUE, GOOGLE EARTH IMAGES AND EXTENSIVE FIELD SURVEY FOR LANDSLIDE INVENTORY IN A PART OF CAMERON HIGHLANDS, PAHANG, MALAYSIA
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Applied Ecology and Environmental Research
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| 34 |
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
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SENSORS
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| 35 |
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
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Scientific Reports
|
| 36 |
Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
|
Remote Sensing
|
| 37 |
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides
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Remote Sensing
|
| 38 |
Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran
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Sustainability
|
| 39 |
New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
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Water
|
| 40 |
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
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CATENA
|
| 41 |
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
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SENSORS
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| 42 |
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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| 43 |
Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio
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Environmental Earth Sciences
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| 44 |
A comparative study between popular statistical and machine learning methods for simulating volume of landslides
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CATENA
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| 45 |
Application of Geographic Information System Technology in Controlling Pipeline Vandalism of Oil and Gas Industry
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Research Journal of Information Technology
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| 46 |
Assessment of WLC and Fuzzy Logic Methods for Site Selection of Water Reservoirs in Malaysia
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POLISH JOURNAL OF ENVIRONMENTAL STUDIES
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| 47 |
Application of MODIS Image satellite and GIS technique in Assessment of Avalanche fall in Roads
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World Academy of Science, Engineering and Technology
|
| 48 |
Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran
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Environmental Earth Sciences
|
| 49 |
Application of moderate resolution imaging spectroradiometer snow cover maps in modeling snowmelt runoff process in the central Zab basin, Iran
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Journal of Applied Remote Sensing
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| 50 |
Landslide susceptibilitymapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models
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CATENA
|
| 51 |
Application of GIS and Remote sensing Techniques in Assessment of Natural Hazards in the Central Zab Basin, Northwest of Iran
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Journal of Basic and Applied Scientific Research
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| 52 |
Landslide Susceptibility Mapping in Central Zab Basin in GIS-based models, Northwest of Iran
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Journal of Basic and Applied Scientific Research
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| 53 |
Application of Satellite images and fuzzy set theory in Landslide hazard Mapping in Central Zab basin
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IOSR Journal of Applied Physics (IOSRJAP)
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| 54 |
Landslide Susceptibility Mapping Using Image Satellite and GIS Technology
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International Journal of Engineering Research and Technology
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| 55 |
Application of Satellite remote sensing for detailed landslide inventories using Frequency ratio model and GIS
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IJCSI International Journal of Computer Science Issues
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| 56 |
Application of Satellite Images and Comparative Study of AnalyticalHierarchy Process and Frequency Ratio Methods to LandslideSusceptibility Mapping in Central Zab Basin, Nw Iran.
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International Journal of Advances in Engineering & Technology (IJAET)
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| 57 |
Evaluation and comparison of bivariate and multivariate statistical methods for landslide susceptibility mapping (case study: Zab basin)
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Arabian Journal of Geosciences
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